This is an R-package for fitting linear mixed effects models in a robust manner. The method is based on the robustification of the scoring equations and an application of the Design Adaptive Scale approach.
Hi. I am calling robustlmm::rlmer inside a function, but it fails with "... could not find function 'lmer'," if lme4 has not already been loaded by library or require.
The error is caused by the line linit <- eval(lcall2, pf) in .rlmerInit. Changing the previous line,
lcall2[[1]] <- as.name("lmer")
to
lcall2[[1]] <- substitute(lme4::lmer)
seems to fix it (as.name doesn't work with the colons).
Hi. I am calling
robustlmm::rlmerinside a function, but it fails with "... could not find function 'lmer'," if lme4 has not already been loaded bylibraryorrequire.The error is caused by the line
linit <- eval(lcall2, pf)in.rlmerInit. Changing the previous line,to
seems to fix it (
as.namedoesn't work with the colons).