First quarter 2016 Archives by subject

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Starting: Sat Jan 2 23:47:08 CET 2016
Ending: Thu Mar 31 18:40:45 CEST 2016
Messages: 256

• [R-sig-ME] "Non-positive definite approximate variance-covariance" output   Jacob Bukoski
• [R-sig-ME] "Non-positive definite approximate variance-covariance" output   Douglas Bates
• [R-sig-ME] "Non-positive definite approximate variance-covariance" output   Jacob Bukoski
• [R-sig-ME] 8 statistics courses in Australia   Highland Statistics Ltd
• [R-sig-ME] [ADMB Users] getting standardized coefficients in admb   Ben Bolker
• [R-sig-ME] [ADMB Users] getting standardized coefficients in admb   Ellen Robertson
• [R-sig-ME] [ADMB Users] getting standardized coefficients in admb   Ben Bolker
• [R-sig-ME] [ADMB Users] getting standardized coefficients in admb   Ellen Robertson
• [R-sig-ME] [R] Comparing variance components   Doran, Harold
• [R-sig-ME] [R] Comparing variance components   Wen Huang
• [R-sig-ME] [R] Comparing variance components   Wen Huang
• [R-sig-ME] [R] Comparing variance components   Bert Gunter
• [R-sig-ME] [R] Comparing variance components   Thompson,Paul
• [R-sig-ME] [R] Comparing variance components   Wen Huang
• [R-sig-ME] [R] Comparing variance components   Jarrod Hadfield
• [R-sig-ME] [R] Comparing variance components   Dean Castillo
• [R-sig-ME] [R] Comparing variance components   Jarrod Hadfield
• [R-sig-ME] [R] Use predict() after lmer() (library lme4)   Thierry Onkelinx
• [R-sig-ME] About ​ calculation of the gravity model in R and STATA software   Сергей С.
• [R-sig-ME] alternative prediction methods for MCMCglmm   Jonathan Judge
• [R-sig-ME] alternative prediction methods for MCMCglmm   Paul Debes
• [R-sig-ME] A model for repeated treatments and repeated outcomes   Daniel Rubi
• [R-sig-ME] A model for repeated treatments and repeated outcomes   Thierry Onkelinx
• [R-sig-ME] A model for repeated treatments and repeated outcomes   Daniel Rubi
• [R-sig-ME] A model for repeated treatments and repeated outcomes   Peter Claussen
• [R-sig-ME] A model for repeated treatments and repeated outcomes   Daniel Rubi
• [R-sig-ME] Back-transformation of Poisson model   Mollie Brooks
• [R-sig-ME] Back-transformation of Poisson model   Jarrod Hadfield
• [R-sig-ME] Back-transformation of Poisson model   Mollie Brooks
• [R-sig-ME] Back-transformation of Poisson model   Ben Bolker
• [R-sig-ME] Back-transformation of Poisson model   Jarrod Hadfield
• [R-sig-ME] bootstrapped CIs for fixed effects in binomial model with random slopes   Christoph Huber-Huber
• [R-sig-ME] Complex model yields similar results to simpler model, but also warnings: can I ignore them?   Jackie Wood
• [R-sig-ME] Complex model yields similar results to simpler model, but also warnings: can I ignore them?   Thierry Onkelinx
• [R-sig-ME] Complex model yields similar results to simpler model, but also warnings: can I ignore them?   Jackie Wood
• [R-sig-ME] confint.merMod, bootstrap and weights   Denis Haine
• [R-sig-ME] confint.merMod, bootstrap and weights   Ben Bolker
• [R-sig-ME] confint.merMod, bootstrap and weights   Denis Haine
• [R-sig-ME] confint.merMod, bootstrap and weights   Ben Bolker
• [R-sig-ME] Convergence warning message   Christopher David Desjardins
• [R-sig-ME] Convergence warning message   Jackie Wood
• [R-sig-ME] Convergence warning message   Ben Bolker
• [R-sig-ME] Convergence warning message   Christopher David Desjardins
• [R-sig-ME] Convergence warning message   Jackie Wood
• [R-sig-ME] Convergence warning message   Thierry Onkelinx
• [R-sig-ME] Convergence warning message   Christopher David Desjardins
• [R-sig-ME] Convergence warning message   Ben Bolker
• [R-sig-ME] Convergence warning message   Ben Bolker
• [R-sig-ME] Covariance matrix specification in MCMCglmm   Alexandre Courtiol
• [R-sig-ME] Covariance matrix specification in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Different lmer results using contrasts() vs numeric coding   Becky Gilbert
• [R-sig-ME] Different lmer results using contrasts() vs numeric coding   Dan McCloy
• [R-sig-ME] Different lmer results using contrasts() vs numeric coding   Becky Gilbert
• [R-sig-ME] Error produced while fitting nlmer Emax function   Munjal Patel
• [R-sig-ME] Estimating 2-level fixed effect slopes for a random effect   Ché Lucero
• [R-sig-ME] Estimating 2-level fixed effect slopes for a random effect   Thierry Onkelinx
• [R-sig-ME] Estimating 2-level fixed effect slopes for a random effect   Ché Lucero
• [R-sig-ME] Estimating 2-level fixed effect slopes for a random effect   Thierry Onkelinx
• [R-sig-ME] Extending chains in MCMCglmm?   Alexandre Courtiol
• [R-sig-ME] Failure to converge with glmer on gamma data   moses selebatso
• [R-sig-ME] Failure to converge with glmer on gamma data   Ben Bolker
• [R-sig-ME] Failure to converge with glmer on gamma data   moses selebatso
• [R-sig-ME] Failure to converge with glmer on gamma data   Ben Bolker
• [R-sig-ME] F and P values for random factors   Mahendra Dia
• [R-sig-ME] F and P values for random factors   Alex Fine
• [R-sig-ME] F and P values for random factors   Philippi, Tom
• [R-sig-ME] F and P values for random factors   Mahendra Dia
• [R-sig-ME] Fitting LMMs using the MixedModels package for Julia   Douglas Bates
• [R-sig-ME] Fitting LMMs using the MixedModels package for Julia   Douglas Bates
• [R-sig-ME] For what can I use a correlation of fixed effects from (g)lmer?   svm
• [R-sig-ME] For what can I use a correlation of fixed effects from (g)lmer?   Malcolm Fairbrother
• [R-sig-ME] For what can I use a correlation of fixed effects from (g)lmer?   svm
• [R-sig-ME] Generalized Poisson Regression   Highland Statistics Ltd
• [R-sig-ME] Generalized Poisson Regression (Underdispersion)   Timothy Lau
• [R-sig-ME] Generalized Poisson Regression (Underdispersion)   Ben Bolker
• [R-sig-ME] Generating partial plots from glmmADMB models with splines   Gitu wa Mbui
• [R-sig-ME] Genoa course: Introduction to Zero Inflated Models   Highland Statistics Ltd
• [R-sig-ME] glmer error (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate)   moses selebatso
• [R-sig-ME] glmer error (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate)   Ben Bolker
• [R-sig-ME] glmmADMB   Tock Chua
• [R-sig-ME] glmmADMB   Ben Bolker
• [R-sig-ME] glmmadmb - problems understanding the output when run in cmd console   Diego Pavon
• [R-sig-ME] glmmadmb - problems understanding the output when run in cmd console   Ben Bolker
• [R-sig-ME] glmmadmb beta - error   Ludovico Frate
• [R-sig-ME] glmmadmb beta - error   Highland Statistics Ltd
• [R-sig-ME] glmmadmb beta - error   Ludovico Frate
• [R-sig-ME] glmmadmb beta - error   Highland Statistics Ltd
• [R-sig-ME] glmmadmb beta - error   Ludovico Frate
• [R-sig-ME] glmmadmb beta - error   Highland Statistics Ltd
• [R-sig-ME] glmmadmb beta - error   Highland Statistics Ltd
• [R-sig-ME] glmmADMB error: Invalid index for array   Moore, Peggy
• [R-sig-ME] glmmADMB error: Invalid index for array   Ben Bolker
• [R-sig-ME] glmmADMB error: Invalid index for array   Moore, Peggy
• [R-sig-ME] glmmADMB error: Invalid index for array   Moore, Peggy
• [R-sig-ME] glmmADMB error: Invalid index for array   Ben Bolker
• [R-sig-ME] glmmADMB error: no PSV file found   Moore, Peggy
• [R-sig-ME] glmmADMB error: no PSV file found   Kathy
• [R-sig-ME] glmmADMB error: no PSV file found   Moore, Peggy
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Marte Lilleeng
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Mollie Brooks
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Paul Johnson
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Highland Statistics Ltd
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Highland Statistics Ltd
• [R-sig-ME] glmmadmb Negative binomial dispersion parameter   Paul Johnson
• [R-sig-ME] glmmADMB without random effects   Alexej Siren
• [R-sig-ME] glth function with lme returns error Error in contrMat(table(mf[[nm]]), type = types[pm]) : less than two groups   Annie-Claude Letendre
• [R-sig-ME] glth function with lme returns error Error in contrMat(table(mf[[nm]]), type = types[pm]) : less than two groups   Thierry Onkelinx
• [R-sig-ME] Graphing lme results using marginal group means   Igor Yakovenko
• [R-sig-ME] Help on random regression model with correlated measures on consecutive days   Manuel Ramon
• [R-sig-ME] HLM post-hoc power analysis and effect sizes   Julia Velten
• [R-sig-ME] HLM post-hoc power analysis and effect sizes   Karl Ove Hufthammer
• [R-sig-ME] horseshoe priors in MCMCglmm?   Jonathan Judge
• [R-sig-ME] horseshoe priors in MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] How to correctly specify a mixed model   christos mammides
• [R-sig-ME] How to correctly specify a mixed model   Ben Bolker
• [R-sig-ME] How to extend an existing linear mixed effects model using lme in R?   urs
• [R-sig-ME] How to extend an existing linear mixed effects model using lme in R?   Thierry Onkelinx
• [R-sig-ME] hurdle modfels in glmmadmb   Ben Bolker
• [R-sig-ME] ICC for the GLMM   Timothy Lau
• [R-sig-ME] increasing maximum iterations in glmmadmb function   Reuben Smit
• [R-sig-ME] increasing maximum iterations in glmmadmb function   Ben Bolker
• [R-sig-ME] increasing maximum iterations in glmmadmb function   Ben Bolker
• [R-sig-ME] Interpreting three-way interaction with categorical predictors and binary outcome (GLMER)   Francesco Romano
• [R-sig-ME] Interpreting three-way interaction with categorical predictors and binary outcome (GLMER)   Emmanuel Curis
• [R-sig-ME] Interpreting three-way interaction with categorical predictors and binary outcome (GLMER)   Francesco Romano
• [R-sig-ME] Introduction to GAM and GAMM with R course   Highland Statistics Ltd
• [R-sig-ME] lme4 categorical outcome probability values at each time point   Igor Yakovenko
• [R-sig-ME] lme4 categorical outcome probability values at each time point   Evan Palmer-Young
• [R-sig-ME] lme4 for Win_10   Ben Bolker
• [R-sig-ME] lmer vs. nlme   Ashley Cohen
• [R-sig-ME] lmer vs. nlme   Thierry Onkelinx
• [R-sig-ME] lmer vs. nlme   Ashley Cohen
• [R-sig-ME] lmer vs. nlme   Ben Bolker
• [R-sig-ME] lmer vs. nlme   Ashley Cohen
• [R-sig-ME] lme with interaction: how to decide which treatment is more efficaceous? how to deal with p value column of the lme summary?   Martina Giovannella
• [R-sig-ME] lme with interaction: how to decide which treatment is more efficaceous? how to deal with p value column of the lme summary?   Thierry Onkelinx
• [R-sig-ME] long format and residual covariance matrix in MCMCglmm   David Villegas Ríos
• [R-sig-ME] Low rank fixed effect design matrix LMER package   suraj keshri
• [R-sig-ME] Low rank fixed effect design matrix LMER package   Ben Bolker
• [R-sig-ME] LSmean: transformed error bars   Evan Palmer-Young
• [R-sig-ME] MCMCglmm and proportion time data   Marcus Michelangeli
• [R-sig-ME] MCMCglmm and proportion time data   Jarrod Hadfield
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Malcolm Fairbrother
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Jarrod Hadfield
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Alberto Gallano
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Jarrod Hadfield
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Dimitri Skandalis
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Alberto Gallano
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Jarrod Hadfield
• [R-sig-ME] MCMCglmm error-in-variables (total least squares) model?   Alberto Gallano
• [R-sig-ME] MCMCglmm predictions using new data error   Alberto Gallano
• [R-sig-ME] MCMCglmm predictions using new data error   Sven E. Templer
• [R-sig-ME] MCMCglmm predictions using new data error   Alberto Gallano
• [R-sig-ME] MCMCglmm predictions using new data error   Sven Templer
• [R-sig-ME] MCMCglmm predictions using new data error   Jarrod Hadfield
• [R-sig-ME] Mixed Models   Jessica Witt
• [R-sig-ME] Mixed Models   Neil French Collier
• [R-sig-ME] Mixed Models   Ben Bolker
• [R-sig-ME] Mixed Models   Emmanuel Curis
• [R-sig-ME] Mixed Models   Paul Debes
• [R-sig-ME] Model for Preference analysis   Evan Palmer-Young
• [R-sig-ME] Model sintax unbalanced design   Lorenzo Vignali
• [R-sig-ME] Multiple binary responses per ID and time   Lize van der merwe
• [R-sig-ME] Multiple binary responses per ID and time   Thierry Onkelinx
• [R-sig-ME] Multiple binary responses per ID and time   Lize van der merwe
• [R-sig-ME] new R user struggling with error and convergence issues   Jennifer Yourkavitch
• [R-sig-ME] new R user struggling with error and convergence issues   Jennifer Yourkavitch
• [R-sig-ME] new R user struggling with error and convergence issues   Ben Bolker
• [R-sig-ME] new R user struggling with error and convergence issues   Jennifer Yourkavitch
• [R-sig-ME] new R user struggling with error and convergence issues   Ben Bolker
• [R-sig-ME] Nlme corAR1 error: Model won't converge   Igor Yakovenko
• [R-sig-ME] Nlme corAR1 error: Model won't converge   Thierry Onkelinx
• [R-sig-ME] Non-significant fixed effect allows approximation of variance-covariance matrix   Jacob Bukoski
• [R-sig-ME] Non-significant fixed effect allows approximation of variance-covariance matrix   Ben Bolker
• [R-sig-ME] Opinions on model structure: fixed and random effects   Andrew Allyn
• [R-sig-ME] Opinions on model structure: fixed and random effects   Thierry Onkelinx
• [R-sig-ME] Plotting best fit lines binomial GLMM   M West
• [R-sig-ME] Plotting best fit lines binomial GLMM   Phillip Alday
• [R-sig-ME] Plotting best fit lines binomial GLMM   M West
• [R-sig-ME] Plotting best fit lines binomial GLMM   Fox, John
• [R-sig-ME] Plotting best fit lines binomial GLMM   M West
• [R-sig-ME] Plotting best fit lines binomial GLMM   Alex Fine
• [R-sig-ME] Plotting best fit lines binomial GLMM   M West
• [R-sig-ME] Plotting effects in original units   Mariano Devoto
• [R-sig-ME] Plotting effects in original units   Fox, John
• [R-sig-ME] Plotting means and error bars for fixed effects in a ME model   Ché Lucero
• [R-sig-ME] Plotting means and error bars for fixed effects in a ME model   Paul Johnson
• [R-sig-ME] Plotting means and error bars for fixed effects in a ME model   Ché Lucero
• [R-sig-ME] Plotting means and error bars for fixed effects in a ME model   Dan Mirman
• [R-sig-ME] Post-hoc analysis of logistic mixed effects model   Yasuaki SHINOHARA
• [R-sig-ME] predict() fails on new data for nlme model object   Dave Auty
• [R-sig-ME] Question about lme4   Ben Bolker
• [R-sig-ME] question about NAs in nlsList   Sally A. Roman
• [R-sig-ME] Questions concerning glmmADMB and hurdle model   Amirouche Sadoun
• [R-sig-ME] R-sig-mixed-models Digest, Vol 110, Issue 16   Sandra Hamel
• [R-sig-ME] R-sig-mixed-models Digest, Vol 111, Issue 9   Gregoire, Timothy
• [R-sig-ME] Random effects in GAMs   Julian Chen
• [R-sig-ME] Random effects in GAMs   Philippi, Tom
• [R-sig-ME] Random effects in GAMs   Julian Chen
• [R-sig-ME] random effects plot   David Villegas Ríos
• [R-sig-ME] R code for segmented mixed models with random changepoints   Vito M. R. Muggeo
• [R-sig-ME] Removing random correlation parameter for categorical variable in lmer   Spätgens, Tessa
• [R-sig-ME] Removing random correlation parameter for categorical variable in lmer   Douglas Bates
• [R-sig-ME] Removing random correlation parameter for categorical variable in lmer   Ben Bolker
• [R-sig-ME] Removing random correlation parameter for categorical variable in lmer   Henrik Singmann
• [R-sig-ME] Replicating type III anova tests for glmer/GLM   Lenth, Russell V
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Francesco Romano
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Henrik Singmann
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Francesco Romano
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Phillip Alday
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Francesco Romano
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Phillip Alday
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Ben Bolker
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Emmanuel Curis
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Emmanuel Curis
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Francesco Romano
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Emmanuel Curis
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Emmanuel Curis
• [R-sig-ME] Replicating type III anova tests for glmer/GLMM   Fox, John
• [R-sig-ME] Reporting coefficients from model averaged GAM (M) models with smoothed terms   Gitu wa Mbui
• [R-sig-ME] R lme() - MEEM error (singularity in Backsolve) due to user-specified contrasts amount (?)   Daniel Preciado
• [R-sig-ME] R lme() - MEEM error (singularity in Backsolve) due to user-specified contrasts amount (?)   Ben Bolker
• [R-sig-ME] R lme() - MEEM error (singularity in Backsolve) due to user-specified contrasts amount (?)   Ben Bolker
• [R-sig-ME] R lme() - MEEM error (singularity in Backsolve) due to user-specified contrasts amount (?)   Daniel Preciado
• [R-sig-ME] R Query - MANOVA with random effects   Karthikeyan Chandrasegaran
• [R-sig-ME] Saving object into a Matrix/List   OLANO NO Nicolas (Exterieur.DCL)
• [R-sig-ME] Saving object into a Matrix/List   Marko Bachl
• [R-sig-ME] Saving object into a Matrix/List   OLANO NO Nicolas (Exterieur.DCL)
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Sam H
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Sam H
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Greg Snow
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Specifying a model with a link function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Syntax for a multivariate & multilevel MCMCglmm model   Allan Debelle
• [R-sig-ME] Syntax for a multivariate & multilevel MCMCglmm model   Paul Debes
• [R-sig-ME] Syntax for a multivariate & multilevel MCMCglmm model   Allan Debelle
• [R-sig-ME] Syntax for a multivariate & multilevel MCMCglmm model   Paul Debes
• [R-sig-ME] syntax for nested random factors in lme   Kathleen Côté
• [R-sig-ME] syntax for nested random factors in lme   Jake Westfall
• [R-sig-ME] Temporal Autocorrelation   Katie Murray
• [R-sig-ME] Temporal Autocorrelation   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Troublesome example of lmer fitting an overidentified model; Stata bad too.   Paul Johnson
• [R-sig-ME] Troublesome example of lmer fitting an overidentified model; Stata bad too.   Douglas Bates
• [R-sig-ME] Unstandardizing GLMM Regression Coefficients   Timothy Lau
• [R-sig-ME] Unstandardizing GLMM Regression Coefficients   Thierry Onkelinx
• [R-sig-ME] Unstandardizing GLMM Regression Coefficients   Timothy Lau
• [R-sig-ME] Unstandardizing GLMM Regression Coefficients   Ben Bolker
• [R-sig-ME] Zero inflated negative binomial mixed models - glmmADMB help   GERMAIN MARION
• [R-sig-ME] Zero inflated negative binomial mixed models - glmmADMB help   dave fournier
• [R-sig-ME] ¿Can I do an internal validation of glmer()? ¿By glmer() -> corrected AUC optimism by bootstraping technic bootMer() [internal validation of a mixed-effects-model]?   Andreu Ferrero

Last message date: Thu Mar 31 18:40:45 CEST 2016
Archived on: Mon Apr 4 23:51:12 CEST 2016

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