Computes the multiple imputation parameter estimate using the emmeans package.
Usage
meanImp_emmeans(ind, peptide = 1, tabdata, metacond)
Arguments
- ind
index
- peptide
name of the peptide
- tabdata
dataset
- metacond
a factor to specify the groups
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
.
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)
#> [1] 99.02599 200.23868