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 ? 10:12, varin sacha via R-help <r-help at
r-project.org> a ?crit :
>
> ?
> Hi,
> Could you paste me the exact error message you?re getting when trying
install.packages("drc")
>
>
>> Le 25 sept. 2025 ? 09:02, Luigi Marongiu <marongiu.luigi at
gmail.com> a ?crit :
>>
>> ?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 at
gmail.com> wrote:
>>>
>>> They're in basicdrm, not braidrm...
>>>
>>> -pd
>>>
>>>>> On 24 Sep 2025, at 11:52 , Luigi Marongiu
<marongiu.luigi at 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 at 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 at cbs.dk Priv: PDalgd at gmail.com
>>>
>>
>>
>> --
>> Best regards,
>> Luigi
>>
>> ______________________________________________
>> R-help at 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 at 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.