randEffAnalysis: Model based analysis with random effects

In mknoll/dataAnalysisMisc: Collection of functions for daily tasks

Model based analysis with random effects

Description

Model based analysis with random effects

Usage

randEffAnalysis(
  data,
  pheno,
  frm0 = as.formula(VAL ~ 1 + (1 | ID)),
  frm = as.formula(VAL ~ GRP + (1 | ID)),
  type = "lm",
  rand = NULL,
  nCores = NULL,
  reCalcREML = T,
  complete.cases = T,
  transf = F
)

Arguments

data	data.frame containg a sample per column and one gene per row
pheno	Pheno data.frame with columns representing variables and rows patients. Must be matched.
frm0	Null-model formula
frm	Full-model formula
type	type of analysis, can be "lm" (lmer), "nb" (glmer.nb), "p" (glmer, family=poisson(link=log)), "l" (glmer, family=binomial(link=logit)), "b" (glmmTMB, family=beta)
rand	random formula required in nlme, if provided, lmer will be used for "lm"
nCores	number of cores to use
complete.cases	automatically remove incomplete data (NA, Inf)

mknoll/dataAnalysisMisc documentation built on Nov. 17, 2024, 9:40 a.m.