-
Notifications
You must be signed in to change notification settings - Fork 20
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Function Not Found Error #328
Comments
Hi @DarioS - thanks for flagging - for now you can add |
Hi @DarioS - could you check if the latest master-branch version fixes your issue? |
I used devtools' library(BiocParallel)
Running GLMM model - this may take a few minutes
Error in testNhoods(MILOdata, design = ~Smoker + (1 | Sample), design.df = design[!is.na(design$Smoker), :
Lowest traceback returned: 5: handle_error(e)
4: h(simpleError(msg, call))
3: .handleSimpleError(function (e)
{
annotated_condition <- handle_error(e)
stop(annotated_condition)
}, "argument is of length zero", base::quote(if (!glmm.control$solver %in%
c("HE", "Fisher", "HE-NNLS")) {
stop(glmm.control$solver, " not recognised - must be HE, HE-NNLS or Fisher")
}))
2: fitGLMM(X = Xmodel, Z = Zmodel, y = Y[i, ], offsets = off.sets,
random.levels = randlevels, REML = reml, dispersion = disper[i],
geno.only = genonly, Kin = kinship, glmm.control = glmm.contr)
1: FUN(...) It is hard for users to read but I realised that |
I am exploring the mixed model functionality. It seems as though there might be a missing function import from BiocParallel.
I am hoping to avoid spurious neighbourhoods with cells originating from only one sample, e.g. John Marioni et al. 2024
The text was updated successfully, but these errors were encountered: