Third quarter 2014 Archives by thread

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Starting: Tue Jul 1 06:21:33 CEST 2014
Ending: Tue Sep 30 18:39:55 CEST 2014
Messages: 410

• [R-sig-ME] LRT on fixed-effects   Matías Muñoz
  • [R-sig-ME] LRT on fixed-effects   Tobias Heed
• [R-sig-ME] LRT on fixed-effects (Mat?as Mu?oz)   Joel Chan
• [R-sig-ME] R2admb-package   Ben Bolker
  • [R-sig-ME] R2admb-package   Ben Bolker
    • [R-sig-ME] R2admb-package   Ben Bolker
• [R-sig-ME] Manipulating Compound Symmetry   Ulf Mertens
• [R-sig-ME] help: different p-values from z-statistic and anova in coxme   ChenChun
• [R-sig-ME] [Lme4-authors] Error in lme4 package   Ben Bolker
  • [R-sig-ME] [Lme4-authors] Error in lme4 package   David Federer
  • [R-sig-ME] [Lme4-authors] Error in lme4 package   David Federer
• [R-sig-ME] Using glmm for penalised spline model   Richman, Ronald
  • [R-sig-ME] Using glmm for penalised spline model   Ben Bolker
    • [R-sig-ME] Using glmm for penalised spline model   Linus Holtermann
  • [R-sig-ME] Using glmm for penalised spline model   Highland Statistics Ltd
• [R-sig-ME] glmer convergence warning   bob martin
  • [R-sig-ME] glmer convergence warning   Ben Bolker
• [R-sig-ME] Getting the error message: Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate when trying to fit glmer to my data   Nimrod Rubinstein
  • [R-sig-ME] Getting the error message: Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate when trying to fit glmer to my data   Ben Bolker
• [R-sig-ME] How to extract convergence code from lmer object?   Ben Bolker
• [R-sig-ME] gls function - goodness of fit   Hebert, Issac (MNR)
  • [R-sig-ME] gls function - goodness of fit   Ben Bolker
• [R-sig-ME] A question on item random effects   Anastasiia Romanova
  • [R-sig-ME] A question on item random effects   Ben Bolker
• [R-sig-ME] visualising interaction with predict.merMod   Richard Zijdeman
  • [R-sig-ME] visualising interaction with predict.merMod   Henrik Singmann
  • [R-sig-ME] visualising interaction with predict.merMod   Lenth, Russell V
    • [R-sig-ME] visualising interaction with predict.merMod   Richard Zijdeman
• [R-sig-ME] No residual variance using MCMCglmm   Céline Teplitsky
  • [R-sig-ME] No residual variance using MCMCglmm   Jarrod Hadfield
    • [R-sig-ME] No residual variance using MCMCglmm   Celine Teplitsky
      • [R-sig-ME] No residual variance using MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Help with pdMat constructors in nlme   Daniel Fulop
• [R-sig-ME] gamm4 model fit error   Nicholas Lange
  • [R-sig-ME] gamm4 model fit error   Ben Bolker
    • [R-sig-ME] gamm4 model fit error   Ben Bolker
  • [R-sig-ME] gamm4 model fit error   Nicholas Lange
• [R-sig-ME] Checking modeling assumptions in a binomial GLMM   Ravi Varadhan
  • [R-sig-ME] Checking modeling assumptions in a binomial GLMM   Francisco Rodriguez Sanchez
• [R-sig-ME] gamm4: extract the (x,y) values of the plotted smooth   Nick Lange
• [R-sig-ME] Very important question regarding the error while using library(lme4)   Ben Bolker
  • [R-sig-ME] Very important question regarding the error while using library(lme4)   Ben Bolker
    • [R-sig-ME] Very important question regarding the error while using library(lme4)   Steve Denham
      • [R-sig-ME] Very important question regarding the error while using library(lme4)   Ben Bolker
      • [R-sig-ME] Very important question regarding the error while using library(lme4)   Steve Denham
      • [R-sig-ME] Very important question regarding the error while using library(lme4)   Jake Westfall
• [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   Julia Sommerfeld
  • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   ONKELINX, Thierry
    • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   Julia Sommerfeld
      • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   ONKELINX, Thierry
      • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   Julia Sommerfeld
      • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   ONKELINX, Thierry
      • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   Ben Bolker
      • [R-sig-ME] How to deal with Hessian error if the model only contains binomial (0, 1) fixed factors?   Julia Sommerfeld
• [R-sig-ME] glmmADMB package   Rajibul Mian
  • [R-sig-ME] glmmADMB package   Ben Bolker
• [R-sig-ME] Same variable as both fixed and random   Stephen Mayor
  • [R-sig-ME] Same variable as both fixed and random   Joshua Wiley
    • [R-sig-ME] Same variable as both fixed and random   ONKELINX, Thierry
      • [R-sig-ME] Same variable as both fixed and random   Joshua Wiley
• [R-sig-ME] New book: Beginner's Guide to GAMM with R   Highland Statistics Ltd
• [R-sig-ME] Question regarding the estimation of the correlation between random intercepts and random slopes in the lme4 package   Inga Schwabe
  • [R-sig-ME] Question regarding the estimation of the correlation between random intercepts and random slopes in the lme4 package   Ben Bolker
    • [R-sig-ME] Question regarding the estimation of the correlation between random intercepts and random slopes in the lme4 package   Jake Westfall
      • [R-sig-ME] Question regarding the estimation of the correlation between random intercepts and random slopes in the lme4 package   Inga Schwabe
• [R-sig-ME] Significance of Repeatablity Estimates   Ben Bolker
• [R-sig-ME] Accuracy of Va estimates using univariate versus multivariate animal model   chantepie at mnhn.fr
  • [R-sig-ME] Accuracy of Va estimates using univariate versus multivariate animal model   Jarrod Hadfield
• [R-sig-ME] How is the covariance factor computed?   Christian Brauner
  • [R-sig-ME] How is the covariance factor computed?   Vincent Dorie
    • [R-sig-ME] How is the covariance factor computed?   Ben Bolker
      • [R-sig-ME] How is the covariance factor computed?   Vincent Dorie
    • [R-sig-ME] How is the covariance factor computed?   steve.walker at utoronto.ca
      • [R-sig-ME] How is the covariance factor computed?   Christian Brauner
      • [R-sig-ME] How is the covariance factor computed?   Ben Bolker
    • [R-sig-ME] How is the covariance factor computed?   Christian Brauner
• [R-sig-ME] Negative binomial in glmmadmb   Ben Bolker
• [R-sig-ME] [R] Checking modeling assumptions in a binomial GLMM   Ben Bolker
  • [R-sig-ME] [R] Checking modeling assumptions in a binomial GLMM   Ravi Varadhan
  • [R-sig-ME] [R] Checking modeling assumptions in a binomial GLMM   Ben Bolker
• [R-sig-ME] question about lme4   Ben Bolker
  • [R-sig-ME] question about lme4   Leithen
• [R-sig-ME] LMM: including ranef or not?   Anna-Marie Corman
  • [R-sig-ME] LMM: including ranef or not?   Anna-Marie Corman
    • [R-sig-ME] LMM: including ranef or not?   Ben Bolker
      • [R-sig-ME] LMM: including ranef or not?   Anna-Marie Corman
• [R-sig-ME] lmer Control Parameters Question   Douglas Bates
  • [R-sig-ME] lmer Control Parameters Question   David Duffy
• [R-sig-ME] Question on semiparametric bootstrap in lme4   Mark Lai
  • [R-sig-ME] Question on semiparametric bootstrap in lme4   Ben Bolker
• [R-sig-ME] Mixed effect models for a study with no (real) replication   Marco Plebani
  • [R-sig-ME] Mixed effect models for a study with no (real) replication   ONKELINX, Thierry
    • [R-sig-ME] Mixed effect models for a study with no (real) replication   Marco Plebani
• [R-sig-ME] Error in Profile likelihood based confidence intervals in glmer()   Ravi Varadhan
  • [R-sig-ME] Error in Profile likelihood based confidence intervals in glmer()   Ben Bolker
• [R-sig-ME] MCMCglmm prior specification   Tanya Pennell
  • [R-sig-ME] MCMCglmm prior specification   Jarrod Hadfield
• [R-sig-ME] Install flexlambda- and master-lme4 from Github   Christian Brauner
  • [R-sig-ME] Install flexlambda- and master-lme4 from Github   Ben Bolker
    • [R-sig-ME] Install flexlambda- and master-lme4 from Github   Tobias Heed
  • [R-sig-ME] Install flexlambda- and master-lme4 from Github   Christian Brauner
• [R-sig-ME] glmer z values binomial data   Clelia Gasparini
  • [R-sig-ME] glmer z values binomial data   Ben Bolker
• [R-sig-ME] Mixed-effects Model - LMER - Plot of estimated Mean and CI   Ofer Agai
  • [R-sig-ME] Mixed-effects Model - LMER - Plot of estimated Mean and CI   Lenth, Russell V
    • [R-sig-ME] Mixed-effects Model - LMER - Plot of estimated Mean and CI   Lenth, Russell V
• [R-sig-ME] Providing starting values for glmer()   Ben Bolker
  • [R-sig-ME] Providing starting values for glmer()   Ravi Varadhan
• [R-sig-ME] MCMCglmm question: multivariate model   Martina Carrete
• [R-sig-ME] Cbind and taxa rows trouble in MCMCglmm   Nick Clark
  • [R-sig-ME] Cbind and taxa rows trouble in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] longitudinal analysis covariance or mixed model approach   espesser
• [R-sig-ME] MCMCglmm predict function output and interpretation   Justine Smith
  • [R-sig-ME] MCMCglmm predict function output and interpretation   Jarrod Hadfield
    • [R-sig-ME] MCMCglmm predict function output and interpretation   Justine
      • [R-sig-ME] MCMCglmm predict function output and interpretation   Jarrod Hadfield
      • [R-sig-ME] MCMCglmm predict function output and interpretation   Justine Smith
      • [R-sig-ME] MCMCglmm predict function output and interpretation   Jarrod Hadfield
      • [R-sig-ME] MCMCglmm predict function output and interpretation   Justine Smith
• [R-sig-ME] How to check if the interaction term is significant?   geetha venkatesh
  • [R-sig-ME] How to check if the interaction term is significant?   Ben Bolker
• [R-sig-ME] Looking for an effect of relatedness in non-normal data (MCMCglmm)   Megan Bartlett
  • [R-sig-ME] Looking for an effect of relatedness in non-normal data (MCMCglmm)   Jarrod Hadfield
• [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Reuben Smit
  • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Jeff Newmiller
    • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Farrar, David
  • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Baldwin, Jim -FS
  • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Reuben Smit
  • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Lenth, Russell V
    • [R-sig-ME] Calculating upper and lower confidence limits on a population estimate derived from multiple point estimates   Reuben Smit
• [R-sig-ME] Pseudoreplication in a factorial GLM with a proportional response variable and categorical predictor variables   Berin Mackenzie
  • [R-sig-ME] Pseudoreplication in a factorial GLM with a proportional response variable and categorical predictor variables   Lionel
• [R-sig-ME] lme and lmer   Nicholas Burgoyne
  • [R-sig-ME] lme and lmer   Viechtbauer Wolfgang (STAT)
    • [R-sig-ME] lme and lmer   Nicholas Burgoyne
      • [R-sig-ME] lme and lmer   S Ellison
• [R-sig-ME] lme4.0 vs. lme4 version 1.1-7: newer version returns inflated SE using glmer() with bobyqa optimizer   Chiara Gambi
  • [R-sig-ME] lme4.0 vs. lme4 version 1.1-7: newer version returns inflated SE using glmer() with bobyqa optimizer   Ben Bolker
  • [R-sig-ME] lme4.0 vs. lme4 version 1.1-7: newer version returns inflated SE using glmer() with bobyqa optimizer   Chiara Gambi
• [R-sig-ME] Random effect on only one of the response variables in bivariate LMM (MCMCglmm)   Nicolas Rode
  • [R-sig-ME] Random effect on only one of the response variables in bivariate LMM (MCMCglmm)   Nicolas Rode
  • [R-sig-ME] Random effect on only one of the response variables in bivariate LMM (MCMCglmm)   Jarrod Hadfield
• [R-sig-ME] Testing goodness of fit for GLMM model   Yuki Fujita
  • [R-sig-ME] Testing goodness of fit for GLMM model   Ben Bolker
• [R-sig-ME] Goodness of fit test for GLMM   yuki fujita
  • [R-sig-ME] Goodness of fit test for GLMM   marKo
  • [R-sig-ME] Goodness of fit test for GLMM   Chris Howden
• [R-sig-ME] lme4 vs nlme   Nicholas Burgoyne
  • [R-sig-ME] lme4 vs nlme   Jake Westfall
• [R-sig-ME] Standard errors in generalised linear mixed models?   Felix Suessenbach
  • [R-sig-ME] Fwd: Standard errors in generalised linear mixed models?   Ben Bolker
• [R-sig-ME] Random slopes for logistic mixed effects model; BoxCox transformation   Yasuaki SHINOHARA
  • [R-sig-ME] Random slopes for logistic mixed effects model; BoxCox transformation   ONKELINX, Thierry
• [R-sig-ME] Weighting observations by sampling size in lmer   Javan Bauder
• [R-sig-ME] parallel MCMCglmm execution   Ruben Arslan
  • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
    • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Ruben Arslan
      • [R-sig-ME] parallel MCMCglmm, RNGstreams, starting values & priors   Jarrod Hadfield
• [R-sig-ME] Looking for differences in G structure among factor levels   Diego
• [R-sig-ME] Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Kirsty McLaughlin
• [R-sig-ME] FW: Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Kirsty McLaughlin
  • [R-sig-ME] FW: Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Ben Bolker
• [R-sig-ME] autocorrelated errors   Paul Johnson
  • [R-sig-ME] autocorrelated errors   Steve Walker
    • [R-sig-ME] autocorrelated errors   Paul Johnson
• [R-sig-ME] lmer not working   Georgina Brennan
  • [R-sig-ME] lmer not working   ONKELINX, Thierry
    • [R-sig-ME] lmer not working   Steve Walker
      • [R-sig-ME] lmer not working   Georgina Brennan
  • [R-sig-ME] lmer not working   ONKELINX, Thierry
• [R-sig-ME] R-sig-mixed-models Digest, Vol 92, Issue 6   Malcolm Fairbrother
• [R-sig-ME] discrepency with paired test when adding concordant paired data to lmer()   E.W.Tobi at lumc.nl
• [R-sig-ME] Model diagnostics for a glmmadmb negative binomial   Reuben Smit
  • [R-sig-ME] Model diagnostics for a glmmadmb negative binomial   Ben Bolker
• [R-sig-ME] tolPwrss threshold   Zofia Ecaterina Taranu
  • [R-sig-ME] tolPwrss threshold   Ben Bolker
• [R-sig-ME] Summary of Subgroups   Shankar Lanke
  • [R-sig-ME] Summary of Subgroups   Ben Bolker
  • [R-sig-ME] Summary of Subgroups   Chris Howden
• [R-sig-ME] Non-conformable arguments while predicting with glmmadmb_model   Reuben Smit
  • [R-sig-ME] Non-conformable arguments while predicting with glmmadmb_model   Ben Bolker
• [R-sig-ME] Group size in mixed/multilevel model: How to obtain weighted effects.   Henrik Singmann
  • [R-sig-ME] Group size in mixed/multilevel model: How to obtain weighted effects.   Jake Westfall
    • [R-sig-ME] Group size in mixed/multilevel model: How to obtain weighted effects.   Henrik Singmann
      • [R-sig-ME] Group size in mixed/multilevel model: How to obtain weighted effects.   Jake Westfall
• [R-sig-ME] confidence intervals for random slopes   Bokony Veronika
  • [R-sig-ME] confidence intervals for random slopes   Lionel
  • [R-sig-ME] confidence intervals for random slopes   Ben Bolker
  • [R-sig-ME] confidence intervals for random slopes   Lenth, Russell V
  • [R-sig-ME] confidence intervals for random slopes   Veronika Bokony
• [R-sig-ME] using Poisson glmer for non-integer data   Ben Bolker
• [R-sig-ME] Bivariate MCMCglmm with repeated measures   PATRICK, Samantha
  • [R-sig-ME] Bivariate MCMCglmm with repeated measures   Jarrod Hadfield
    • [R-sig-ME] Bivariate MCMCglmm with repeated measures   PATRICK, Samantha
      • [R-sig-ME] Bivariate MCMCglmm with repeated measures   Jarrod Hadfield
• [R-sig-ME] Random slope/intercept without correlation in lmer   Gustaf Granath
  • [R-sig-ME] Random slope/intercept without correlation in lmer   Ben Bolker
    • [R-sig-ME] Random slope/intercept without correlation in lmer   Steve Walker
      • [R-sig-ME] Random slope/intercept without correlation in lmer   Gustaf Granath
      • [R-sig-ME] Random slope/intercept without correlation in lmer   Jake Westfall
      • [R-sig-ME] Random slope/intercept without correlation in lmer   Ben Bolker
• [R-sig-ME] Specifying a repeated-measure design with 3 fully crossed within-subject factors   Michael Cone
  • [R-sig-ME] Specifying a repeated-measure design with 3 fully crossed within-subject factors   Michael Cone
• [R-sig-ME] Random effect variance = zero   Aurore Paligot
  • [R-sig-ME] Random effect variance = zero   Ben Bolker
    • [R-sig-ME] Random effect variance = zero   Aurore Paligot
  • [R-sig-ME] Random effect variance = zero   Marco Plebani
    • [R-sig-ME] Random effect variance = zero   Douglas Bates
      • [R-sig-ME] Random effect variance = zero   John Maindonald
    • [R-sig-ME] Random effect variance = zero   Ben Bolker
      • [R-sig-ME] Random effect variance = zero   Ben Bolker
  • [R-sig-ME] Random effect variance = zero   Marco Plebani
• [R-sig-ME] Multivariate multinomial in MCMCglmm   Szymek Drobniak
  • [R-sig-ME] Multivariate multinomial in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] PredictSE.mer error message   yuki fujita
  • [R-sig-ME] PredictSE.mer error message   Jake Westfall
• [R-sig-ME] "bootstrap runs failed" in bootMer within confint.merMod   Paul Johnson
  • [R-sig-ME] "bootstrap runs failed" in bootMer within confint.merMod   Paul Johnson
• [R-sig-ME] random vs fixed effects and glmer model simplification   Saoirse Preston
  • [R-sig-ME] random vs fixed effects and glmer model simplification   Malcolm Fairbrother
• [R-sig-ME] lmer random and fixed effect?   Charles Determan Jr
  • [R-sig-ME] lmer random and fixed effect?   Farrar, David
    • [R-sig-ME] lmer random and fixed effect?   Ben Bolker
      • [R-sig-ME] lmer random and fixed effect?   Farrar, David
• [R-sig-ME] [R] lqmm - package: Error in f(arg, …) : NA/NaN/Inf in foreign function call (arg 1)   florian k.
  • [R-sig-ME] [R] lqmm - package: Error in f(arg, …) : NA/NaN/Inf in foreign function call (arg 1)   florian k.
    • [R-sig-ME] [R] lqmm - package: Error in f(arg, …) : NA/NaN/Inf in foreign function call (arg 1)   Ben Bolker
      • [R-sig-ME] [R] lqmm - package: Error in f(arg, …) : NA/NaN/Inf in foreign function call (arg 1)   florian k.
• [R-sig-ME] bootMer: 2 questions about generating standard errors in lme4   Jeffrey Evans
  • [R-sig-ME] bootMer: 2 questions about generating standard errors in lme4   Ben Bolker
    • [R-sig-ME] bootMer: 2 questions about generating standard errors in lme4   Jeffrey Evans
• [R-sig-ME] discrepency paired test and lmer()   E.W.Tobi at lumc.nl
  • [R-sig-ME] discrepency paired test and lmer()   i white
• [R-sig-ME] (no subject)   Richa Bharti
  • [R-sig-ME] (no subject)   Ben Bolker
• [R-sig-ME] looking for differencies in G structure among factor levels using MCMCglmm   Diego Carmona
• [R-sig-ME] Trivariate MCMCglmm   Gemma Palomar García
  • [R-sig-ME] Trivariate MCMCglmm   Matthew Wolak
    • [R-sig-ME] Trivariate MCMCglmm   Matthew Wolak
      • [R-sig-ME] Trivariate MCMCglmm   Gemma Palomar García
• [R-sig-ME] Model tree with random effects   Roelof Coster
• [R-sig-ME] Getting intraclass correlations from a binomial mixed model with logit link   Ulf Köther
  • [R-sig-ME] Getting intraclass correlations from a binomial mixed model with logit link   Jake Westfall
  • [R-sig-ME] Getting intraclass correlations from a binomial mixed model with logit link   Jake Westfall
• [R-sig-ME] [Lme4-authors] installing 1.1-7   Ben Bolker
• [R-sig-ME] GlMM for ordinal and pseudo replication   Ben Bolker
• [R-sig-ME] Mixed model for ordinal data with pseudo replication   Mehdi Abedi
  • [R-sig-ME] Mixed model for ordinal data with pseudo replication   Mehdi Abedi
• [R-sig-ME] question about lme4 and nlme   Niu, Mu
• [R-sig-ME] help on choosin right model for data   Josipa Perković
  • [R-sig-ME] help on choosin right model for data   Ben Bolker
    • [R-sig-ME] help on choosin right model for data   Josipa Perković
• [R-sig-ME] Deviance residuals don't sum up to deviance   Roelof Coster
  • [R-sig-ME] Deviance residuals don't sum up to deviance   Martin Maechler
    • [R-sig-ME] Deviance residuals don't sum up to deviance   Roelof Coster
      • [R-sig-ME] Deviance residuals don't sum up to deviance   Steve Walker
      • [R-sig-ME] Deviance residuals don't sum up to deviance   Steve Walker
• [R-sig-ME] RE : Generalized mixed effects models   Douglas Bates
• [R-sig-ME] glmer   PLUQUET Thibault
• [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   PATRICK, Samantha
  • [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   Jarrod Hadfield
    • [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   PATRICK, Samantha
      • [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   Jarrod Hadfield
    • [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   Ben Bolker
      • [R-sig-ME] How to fix the value of random intercepts (lmer/MCMCglmm)   Steve Walker
• [R-sig-ME] Binomial GLMM or GAMM with random intercept and temporal correlation   Samantha Cox
• [R-sig-ME] multilevel analysis with sample weighted data   Rodrigo Travitzki
  • [R-sig-ME] multilevel analysis with sample weighted data   Ben Bolker
    • [R-sig-ME] multilevel analysis with sample weighted data   Rodrigo Travitzki
• [R-sig-ME] Random effects in clmm() of package ordinal   Christian Brauner
  • [R-sig-ME] Random effects in clmm() of package ordinal   Ben Bolker
  • [R-sig-ME] Random effects in clmm() of package ordinal   Malcolm Fairbrother
    • [R-sig-ME] Random effects in clmm() of package ordinal   Christian Brauner
      • [R-sig-ME] Random effects in clmm() of package ordinal   Jarrod Hadfield
      • [R-sig-ME] Random effects in clmm() of package ordinal   Christian Brauner
• [R-sig-ME] R-sig-mixed-models Digest, Vol 92, Issue 45   Corey Sparks
  • [R-sig-ME] multilevel analysis with sample weighted data   Corey Sparks
• [R-sig-ME] Analysing data with an ordinal response   Christian Brauner
• [R-sig-ME] glmer error: contrasts can only be applied to factors of 2 or more levels   Dan McCloy
  • [R-sig-ME] glmer error: contrasts can only be applied to factors of 2 or more levels   Ben Bolker
  • [R-sig-ME] glmer error: contrasts can only be applied to factors of 2 or more levels   Dan McCloy
    • [R-sig-ME] glmer error: contrasts can only be applied to factors of 2 or more levels   Ben Bolker
• [R-sig-ME] WG: lme4: prediction for glmer model   Meid, Andreas
• [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Shona Smith
  • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Viechtbauer Wolfgang (STAT)
    • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Shona Smith
    • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Shona Smith
      • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] Post model fitting checks in Metafor (rma.mv)   Shona Smith
• [R-sig-ME] zeroinflated poisson GLM(M) in JAGS   Ulf Köther
• [R-sig-ME] Four available places on GLMM course in Banff   Highland Statistics Ltd
• [R-sig-ME] Nested random effect or unbalanced design?   Leppänen Ilkka
  • [R-sig-ME] Nested random effect or unbalanced design?   Mark J Brewer
• [R-sig-ME] glmmADMB - User Guide   Ben Bolker
• [R-sig-ME] family() in probit-glmer   Alessandro Moscatelli
  • [R-sig-ME] family() in probit-glmer   Ben Bolker
• [R-sig-ME] glmer takes long time even after restricting iterations   Prachi Sanghavi
  • [R-sig-ME] glmer takes long time even after restricting iterations   Douglas Bates
    • [R-sig-ME] glmer takes long time even after restricting iterations   Ben Bolker
• [R-sig-ME] Errors message from glmmADMB package: Zero Inflated, Negative Binomial for large panel dataset   Leo Yanes
  • [R-sig-ME] Errors message from glmmADMB package: Zero Inflated, Negative Binomial for large panel dataset   Ben Bolker
• [R-sig-ME] lmer() with 'na.action=na.exclude'; error with summary()   John Maindonald
  • [R-sig-ME] lmer() with 'na.action=na.exclude'; error with summary()   Ben Bolker
    • [R-sig-ME] lmer() with 'na.action=na.exclude'; error with summary()   John Maindonald
      • [R-sig-ME] lmer() with 'na.action=na.exclude'; error with summary()   Martin Maechler
      • [R-sig-ME] lmer() with 'na.action=na.exclude'; error with summary()   Ben Bolker
• [R-sig-ME] Influence of the random effects on fixed effect estimates in mixed models and interpretation of fixed effects in relation to random effects.   Tom Wilding
  • [R-sig-ME] Influence of the random effects on fixed effect estimates in mixed models and interpretation of fixed effects in relation to random effects.   Jarrod Hadfield
• [R-sig-ME] Using lmer on an augmented alpha square model   Morrison, Ginnie D.
  • [R-sig-ME] Using lmer on an augmented alpha square model   ONKELINX, Thierry
    • [R-sig-ME] Using lmer on an augmented alpha square model   ONKELINX, Thierry
• [R-sig-ME] Warning message in glmmADMB   Moshiur Rahman
  • [R-sig-ME] Warning message in glmmADMB   Ulf Köther
    • [R-sig-ME] Warning message in glmmADMB   Moshiur Rahman
• [R-sig-ME] Comparisons of models with and without a threshold   Christian Starzynski
• [R-sig-ME] GLMM for repeated measures in space and time series   Bárbara Baraibar Padró
  • [R-sig-ME] GLMM for repeated measures in space and time series   Chris Howden
    • [R-sig-ME] GLMM for repeated measures in space and time series   Ben Bolker
• [R-sig-ME] Confidence intervals   Ben Bolker
  • [R-sig-ME] Confidence intervals   Theelen, Maik Matheus Paul
    • [R-sig-ME] Confidence intervals   Ben Bolker
• [R-sig-ME] Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
  • [R-sig-ME] Confidence interval for relative contribution of random effect variance   Ben Bolker
    • [R-sig-ME] Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
  • [R-sig-ME] Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
• [R-sig-ME] Question about linear mixed model   Douglas Bates
  • [R-sig-ME] Question about linear mixed model   Hung-Chih Ku
• [R-sig-ME] Multiple independent random effects   Mark Payne
  • [R-sig-ME] Multiple independent random effects   Michael Cone
    • [R-sig-ME] Multiple independent random effects   Ben Bolker
      • [R-sig-ME] Multiple independent random effects   Mark Payne
• [R-sig-ME] link function with glmer and inverse.gaussian family   Helios de Rosario
  • [R-sig-ME] link function with glmer and inverse.gaussian family   Ben Bolker
• [R-sig-ME] Seeming discrepancy between summary and confint; was: Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
  • [R-sig-ME] Seeming discrepancy between summary and confint; was: Confidence interval for relative contribution of random effect variance   Martin Maechler
    • [R-sig-ME] Seeming discrepancy between summary and confint; was: Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
      • [R-sig-ME] Seeming discrepancy between summary and confint; was: Confidence interval for relative contribution of random effect variance   Emmanuel Curis
      • [R-sig-ME] Seeming discrepancy between summary and confint; was: Confidence interval for relative contribution of random effect variance   lorenz.gygax at agroscope.admin.ch
• [R-sig-ME] MCMCglmm multi-variate response for animal model   Shana Caro
• [R-sig-ME] SE and CI for ICC   Mohd Masood
  • [R-sig-ME] SE and CI for ICC   Ben Bolker
    • [R-sig-ME] SE and CI for ICC   David Atkins
      • [R-sig-ME] SE and CI for ICC   Michael Cone
  • [R-sig-ME] SE and CI for ICC   Mark Lai
  • [R-sig-ME] SE and CI for ICC   Martin Maechler
• [R-sig-ME] Obscure convergence warning in optwrap() - convergence code 3 from bobyqa   Michael Cone
• [R-sig-ME] Problem with profile and glmer   Ken Beath
  • [R-sig-ME] Problem with profile and glmer   Emmanuel Curis
• [R-sig-ME] Is there a way to include both time correlation term and spatial correlation term in single lme model?   Nirmala Liyanage
  • [R-sig-ME] Is there a way to include both time correlation term and spatial correlation term in single lme model?   ONKELINX, Thierry
• [R-sig-ME] Is there a way to include both time correlation term and spatial correlation term in a single lme model?   Nirmala Liyanage
  • [R-sig-ME] Is there a way to include both time correlation term and spatial correlation term in a single lme model?   ONKELINX, Thierry
• [R-sig-ME] informative prior for one variance   Van Dongen Stefan
• [R-sig-ME] distributions and correlations   Van Dongen Stefan
• [R-sig-ME] predict.merMod   Ben Bolker
  • [R-sig-ME] predict.merMod   Alex Whitworth
    • [R-sig-ME] Within group estimate of autocorrelation   PATRICK, Samantha
      • [R-sig-ME] Within group estimate of autocorrelation   Ben Bolker
• [R-sig-ME] glmer and model evaluation   Dusit Ngoprasert
• [R-sig-ME] xyplot() method for profile objects: error from use of the scales argument   John Maindonald
  • [R-sig-ME] xyplot() method for profile objects: error from use of the scales argument   Ben Bolker
• [R-sig-ME] Course Lisbon: Introduction to Linear mixed effects models, GLMM and MCMC with R   Highland Statistics Ltd
• [R-sig-ME] Distribution of deviance residuals   Roelof Coster
  • [R-sig-ME] Distribution of deviance residuals   Ben Bolker
• [R-sig-ME] Fwd: RE: [R] Help with lsmeans   Ben Bolker
• [R-sig-ME] Subject-wise gradient and Hessian   Vahid Nassiri
  • [R-sig-ME] Subject-wise gradient and Hessian   Douglas Bates
    • [R-sig-ME] Subject-wise gradient and Hessian   Vahid Nassiri
      • [R-sig-ME] Subject-wise gradient and Hessian   Douglas Bates
      • [R-sig-ME] Subject-wise gradient and Hessian   Ben Bolker
• [R-sig-ME] FW: methods for glmerMod object   Ben Bolker
• [R-sig-ME] sums of squares and F values in anova   Alexandra Kuznetsova
  • [R-sig-ME] sums of squares and F values in anova   Ben Bolker
    • [R-sig-ME] sums of squares and F values in anova   John Fox
      • [R-sig-ME] sums of squares and F values in anova   Farrar, David
• [R-sig-ME] Confidence interval for sum of coefficients   Michael Cone
  • [R-sig-ME] Confidence interval for sum of coefficients   lorenz.gygax at agroscope.admin.ch
    • [R-sig-ME] Confidence interval for sum of coefficients   Michael Cone
  • [R-sig-ME] Confidence interval for sum of coefficients   Michael Cone
    • [R-sig-ME] Confidence interval for sum of coefficients   Doogan, Nathan
      • [R-sig-ME] Confidence interval for sum of coefficients   Ben Bolker
      • [R-sig-ME] Confidence interval for sum of coefficients   Michael Cone
  • [R-sig-ME] Confidence interval for sum of coefficients   Lenth, Russell V
    • [R-sig-ME] Confidence interval for sum of coefficients   Michael Cone
• [R-sig-ME] How can I estimate deviance explained of a mixed gamm?   Jon Lopez
  • [R-sig-ME] How can I estimate deviance explained of a mixed gamm?   Ben Bolker
  • [R-sig-ME] How can I estimate deviance explained of a mixed gamm?   Michael Cone
• [R-sig-ME] individual Linear mixed models   Etn
  • [R-sig-ME] individual Linear mixed models   ONKELINX, Thierry
    • [R-sig-ME] individual Linear mixed models   Etn
• [R-sig-ME] Fwd: [Lme4-authors] LME4 and Lmer model   Zhanyou Xu
• [R-sig-ME] Course Halifax: Introduction to Linear mixed effects models, GLMM and MCMC with R   Highland Statistics Ltd

Last message date: Tue Sep 30 18:39:55 CEST 2014
Archived on: Wed Oct 1 00:26:18 CEST 2014

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