meanImp_emmeans: Multiple Imputation Estimate

In mi4p: Multiple Imputation for Proteomics

Multiple Imputation Estimate

Description

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

Value

A vector.

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("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)

mi4p documentation built on Oct. 3, 2024, 1:11 a.m.