xsswang/remiod

R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study

remiod's Issues

Variable type of the treatment variable

Hello! I am using Remiod for my dissertation project. The data I have got has continuous outcomes with missing values, the aim is to model the data as MAR and MNAR (Delta, J2R and CR). When I include the treatment variable as numeric (coded as 0 for placebo and 1 for treatment), the algorithm works. However, when I include the treatment variable as factor (reference level 0 and treatment level 1), the algorithm said 'Error in MCMC_CR[, mc_imp_col_nam] <- predc : replacement has length zero' when J2R and CR were chosen and the trace plots of the parameters of the treatment variable did not work.

I can see that in the simple example of the 'schizow' data, 'tx' is coded as an integer. Is this an in-built requirement of the package such that categorical treatment variables are not allowed?

Your .Rhistory in repo

Hi, just a heads-up that you're tracking your local .Rhistory file in this repo, cf. https://github.com/xsswang/remiod/blob/main/.Rhistory. There's a risk that it one day might include some secrets, e.g. passwords, tokens, or similar.

Vignettes errors: Add 'markdown' to Suggests: to fix it

When running revdep checks on doFuture, I spotted your recent R-devel check errors;

Version: 1.0.1
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
     ...
    --- re-building 'ExampleBinary.md' using md
    Error: processing vignette 'ExampleBinary.md' failed with diagnostics:
    there is no package called 'markdown'
    --- failed re-building 'ExampleBinary.md'

Not sure if this is the reason for ffdb884#diff-29a78bd2d26c7f8f10e9c28be08b2e024c452cee66d79fd19771d70ce39ce678, but please note that the solution to the above R CMD check --as-cran errors on recent R-devel version is to add the markdown package to Suggests:.