[R] How to fit a Hill model using braidrm package?

[varin sacha]

Hi,

What about directly calling the model function with basicdrm library ?

library(basicdrm)

# Fit Hill model
m <- drm(Response ~ Dose, data = df, fct = hillfct())

summary(m)

# Predict & plot
plot(m, log = "x")

Best,
SV

> Le 25 sept. 2025 à 10:12, varin sacha via R-help <r-help using r-project.org> a écrit :
> 
> 
> Hi,
> Could you paste me the exact error message you’re getting when trying install.packages("drc")
> 
> 
>> Le 25 sept. 2025 à 09:02, Luigi Marongiu <marongiu.luigi using gmail.com> a écrit :
>> 
>> I got the same errors:
>> ```
>>> library(basicdrm)
>>> findBestHill(Response~Dose, df)
>> Error in findBestHill(Response ~ Dose, df) :
>> could not find function "findBestHill"
>>> evalHillEqn(Response~Dose, df)
>> Error in evalHillEqn(Response ~ Dose, df) :
>> could not find function "evalHillEqn"
>> ```
>> 
>>>> On Wed, Sep 24, 2025 at 1:47 PM peter dalgaard <pdalgd using gmail.com> wrote:
>>> 
>>> They're in basicdrm, not braidrm...
>>> 
>>> -pd
>>> 
>>>>> On 24 Sep 2025, at 11:52 , Luigi Marongiu <marongiu.luigi using gmail.com> wrote:
>>>> 
>>>> Hello,
>>>> I have a set of data coming from a dissociation experiment
>>>> (protein/ligand). Since the data is required to calculate the constant
>>>> of dissociation (Kd) of this pair, I am looking for a way of fitting a
>>>> Hill function to the data.
>>>> I have seen that the package braidrm
>>>> (https://cran.r-project.org/web/packages/braidrm/index.html) provides
>>>> this function, but when I launch the function `evalHillEqn`,
>>>> `findBestHill` and so forth I get the error of function not found.
>>>> Yet, the package is given as properly installed by the system.
>>>> How can I run this package?
>>>> Is there an alternative way to fit a Hill function to these data?
>>>> Thank you
>>>> 
>>>> ```
>>>> df = data.frame(Response =    c(890.72,    895.46,    895.63,
>>>> 894.72,    895.49,    893.59,
>>>>              892.53,    895.06,    897.21,    889.27,    876.05,
>>>> 857.96,    862.02,    858.36,
>>>>              890.94,    890.8,    887.22,    888.91,    890.83,
>>>> 889.92,    891.76,    890.32,
>>>>              886.35,    878.11,    866.57,    859.04,    863.64,
>>>> 880.16,    884.15,    879.57,
>>>>              878.89,    882.27,    881.59,    880.98,    881.45,
>>>> 876.19,    868.32,    859.16,
>>>>              850.53,    853.21,    859.34,    859.73,    861.19),
>>>>              Dose =    c(0.0000000015,    0.000000003,
>>>> 0.000000006,    0.000000012,
>>>>                     0.000000024,    0.000000048,    0.000000095,
>>>> 0.00000018,
>>>>                     0.00000038,    0.00000078,    0.0000015,
>>>> 0.000013,    0.000025,
>>>>                     0.00005,    0.0000000015,    0.000000003,
>>>> 0.000000006,
>>>>                     0.000000012,    0.000000024,    0.000000048,
>>>> 0.000000095,
>>>>                     0.00000018,    0.00000038,    0.00000078,
>>>> 0.0000015,    0.000025,
>>>>                     0.00005,    0.0000000015,    0.000000003,
>>>> 0.000000006,
>>>>                     0.000000012,    0.000000024,    0.000000048,
>>>> 0.000000095,
>>>>                     0.00000018,    0.00000038,    0.00000078,
>>>> 0.0000015,    0.000003,
>>>>                     0.000006,    0.000013,    0.000025,    0.00005)
>>>> )
>>>> plot(Response~log10(Dose), df)
>>>> library(braidrm)
>>>> evalHillEqn(Response~Dose, df)
>>>> findBestHill(Response~Dose, df)
>>>> ```
>>>> 
>>>> ______________________________________________
>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>> 
>>> --
>>> Peter Dalgaard, Professor,
>>> Center for Statistics, Copenhagen Business School
>>> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
>>> Phone: (+45)38153501
>>> Office: A 4.23
>>> Email: pd.mes using cbs.dk  Priv: PDalgd using gmail.com
>>> 
>> 
>> 
>> --
>> Best regards,
>> Luigi
>> 
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
>    [[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.