bayesSNPassoc: Bayesian model to analyze SNP data

In isglobal-brge/bayesOmic: Bayesian modeling for omic data analysis

Description

Bayesian model to analyze SNP data

Usage

bayesSNPassoc(formula, data, chr, call.rate = 0.9, min.freq = 0.05,
  sig.level = 0.05, method = "JAGS", n.iter.burn.in = 1000,
  n.adapt = 100, n.iter = 5000, thin = 5, n.chain = 2,
  n.cores = 1, ...)

Arguments

data	setupSNP data.frame (SNPassoc) with genotypes of each SNP (columns) corresponding to each individual (rows) and phenotypic variables.
chr
call.rate
min.freq
sig.level	significance level.
method	estimating method. It can be INLA (default) or JAGS.
n.iter.burn.in
n.iter
thin
n.chain
...	other arguments to be passed trough INLA::inla

isglobal-brge/bayesOmic documentation built on April 22, 2020, 8:35 p.m.