Package index • mi4p

All functions
`MVgen()`	Amputation of a dataset
`check.conditions()`	Check if the design is valid
`check.design()`	Check if the design is valid
`datasim`	A single simulated dataset
`eBayes.mod()`	MI-aware Modifed eBayes Function
`formatLimmaResult()`	Format a Result from Limma
`hid.ebayes()`	MI-aware Modifed eBayes Function
`limmaCompleteTest.mod()`	Computes a hierarchical differential analysis
`make.contrast()`	Builds the contrast matrix
`make.design.1()`	Builds the design matrix for designs of level 1
`make.design.2()`	Builds the design matrix for designs of level 2
`make.design.3()`	Builds the design matrix for designs of level 3
`make.design()`	Builds the design matrix
`meanImp_emmeans()`	Multiple Imputation Estimate
`mi4limma()`	Differential analysis after multiple imputation
`mm_peptides`	mm_peptides - peptide-level intensities for mouse
`multi.impute()`	Multiple imputation of quantitative proteomics datasets
`norm.200.m100.sd1.vs.m200.sd1.list`	A list of simulated datasets.
`proj_matrix()`	Variance-Covariance Matrix Projection
`protdatasim()`	Data simulation function
`qData`	Extract of the abundances of Exp1_R25_pept dataset
`rubin1.all()`	First Rubin rule (all peptides)
`rubin1.one()`	First Rubin rule (a given peptide)
`rubin2.all()`	Computes the 2nd Rubin's rule (all peptides)
`rubin2bt.all()`	2nd Rubin's rule Between-Imputation component (all peptides)
`rubin2bt.one()`	2nd Rubin's rule Between-Imputation Component (a given peptide)
`rubin2wt.all()`	2nd Rubin's rule Within-Variance Component (all peptides)
`rubin2wt.one()`	2nd Rubin's rule Within-Variance Component (a given peptide)
`sTab`	Experimental design for the Exp1_R25_pept dataset
`test.design()`	Check if xxxxxx
`within_variance_comp_emmeans()`	Multiple Imputation Within Variance Component

Reference

All functions