rubin1.one: First Rubin rule (a given peptide)

In mariechion/mi4p: Multiple Imputation for Proteomics

First Rubin rule (a given peptide)

Description

Computes the first Rubin's rule for a given peptide.

Usage

rubin1.one(peptide, data, funcmean = meanImp_emmeans, metacond)

Arguments

peptide	peptide for which the variance-covariance matrix should be derived.
data	dataset
funcmean	function that should be used to compute the mean
metacond	a factor to specify the groups

Value

A vector of estimated parameters.

Author(s)

Frédéric Bertrand

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. arxiv:2108.07086. https://arxiv.org/abs/2108.07086.

Examples

library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions = 
attr(datasim,"metadata")$Condition, method = "MLE")
rubin1.one(1,datasim_imp,funcmean = meanImp_emmeans,
attr(datasim,"metadata")$Condition)

mariechion/mi4p documentation built on March 28, 2023, 2:54 p.m.