scoreConfoundersComp: Score equations for conditioning under compositionality

In combi: Compositional omics model based visual integration

Description

Score equations for conditioning under compositionality

Usage

scoreConfoundersComp(x, confMat, data, meanVarTrend, marginModel,
  biasReduction, allowMissingness, subtractMax = TRUE)

Arguments

x	Confounder parameter estimates
confMat	confounder matrix
data	data
meanVarTrend	mean variance trend
marginModel	marginal models
biasReduction	A boolean, should a bias reduced estimation be applied?
allowMissingness	A boolean, are missing values allowed
subtractMax	A boolean, shuold the maximum be subtracted before softmax transformation? Recommended for numerical stability

Value

The evaluation of the estimating equations

combi documentation built on Nov. 8, 2020, 5:34 p.m.