hmodel: Performs rjags models

In lnonell/HOmics: Hierarchical omics

Description

Performs rjags models

Usage

hmodel(G, Z, cond, cont, covar.matrix = NULL, seed, n.adapt = n.adapt,
  n.chains = n.chains, n.iter = n.iter)

Arguments

cond	response variable, as numerical vector
cont	flag to consider a continuous response
covar.matrix	matrix of continuous covariates (in columns)
n.adapt	number of iterations for the adaptative phase of the hierarchical model. Default = 1000
n.iter	number of iteractions for the burn in phase or sampling of the hierarchical model. Default = 2000
g.matrix	matrix of cpgs, with samples in rows and cpgs in columns
z.matrix	matrix of functional annotations for g.matrix cpgs, with cpgs in rows and functions in columns
n.chain	number of chains of the hierarchical model. Default = 3

Value

results for a gene model

Examples

to be built

lnonell/HOmics documentation built on July 23, 2019, 1:10 a.m.