meanImp_emmeans function

Multiple Imputation Estimate

Computes the multiple imputation parameter estimate using the emmeans package.

meanImp_emmeans(ind, peptide = 1, tabdata, metacond)

Arguments

• ind: index
• peptide: name of the peptide
• tabdata: dataset
• metacond: a factor to specify the groups

Returns

A vector.

Examples

library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions = 
attr(datasim,"metadata")$Condition, method = "MLE")
meanImp_emmeans(1,1,datasim_imp,attr(datasim,"metadata")$Condition)

References

M. Chion, Ch. Carapito and F. Bertrand (2021). Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics. tools:::Rd_expr_doi("doi:10.1371/journal.pcbi.1010420") .