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Hi,
First of all, thank you for you amazing package! I am trying to calculate an R² value using the bayes_R2 function without the random effect.
model <- brm(mpg ~ disp + (1|cyl), data = mtcars)
with_re <- bayes_R2(model) without_re <- bayes_R2(model, re_formula = NA)
But when setting the re_formula = NA, I get the following error-message:
Error in standata.brmsfit(x, resp = resp, re_formula = NA, check_response = TRUE, : formal argument "re_formula" matched by multiple actual arguments
Is this an error or am I doing this wrong?
Thanks, Best regards, Emiel
The text was updated successfully, but these errors were encountered:
fix issue #592
29cc225
Thanks for reporting this issue! It should now be fixed in the github version of brms to be installed via
if (!requireNamespace("devtools")) { install.packages("devtools") } devtools::install_github("paul-buerkner/brms")
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Hi,
First of all, thank you for you amazing package!
I am trying to calculate an R² value using the bayes_R2 function without the random effect.
model <- brm(mpg ~ disp + (1|cyl), data = mtcars)
with_re <- bayes_R2(model)
without_re <- bayes_R2(model, re_formula = NA)
But when setting the re_formula = NA, I get the following error-message:
Error in standata.brmsfit(x, resp = resp, re_formula = NA, check_response = TRUE, :
formal argument "re_formula" matched by multiple actual arguments
Is this an error or am I doing this wrong?
Thanks,
Best regards,
Emiel
The text was updated successfully, but these errors were encountered: