Multiple Imputation Within Variance Component — within_variance_comp

Computes the multiple imputation within variance component using the emmeans package.

Usage

within_variance_comp_emmeans(ind, peptide, data, metacond)

Arguments

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

Value

A variance-covariance matrix.

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. doi:10.1371/journal.pcbi.1010420 .

Author

Frédéric Bertrand

Examples

library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions = 
attr(datasim,"metadata")$Condition, method = "MLE")
within_variance_comp_emmeans(1,1,datasim_imp,
attr(datasim,"metadata")$Condition)
#>           A         B
#> A 0.1911347 0.0000000
#> B 0.0000000 0.1911347