mincut.cv: Run the cross-validated min-cut algorithm

In hclimente/martini: GWAS Incorporating Networks

Run the cross-validated min-cut algorithm

Description

Run the cross-validated min-cut algorithm

Usage

mincut.cv(
  gwas,
  net,
  covars,
  etas,
  lambdas,
  criterion,
  score,
  sigmod,
  family,
  link,
  max_prop_snp
)

Arguments

gwas	A SnpMatrix object with the GWAS information.
net	An igraph network that connects the SNPs.
covars	A data frame with the covariates. It must contain a column 'sample' containing the sample IDs, and an additional columns for each covariate.
family	A string defining the generalized linear model family. This should match one of "binomial", "poisson", "gaussian" or "gamma". See snp.rhs.tests for details.
link	A string defining the link function for the GLM. This should match one of "logit", "log", "identity" or "inverse". See snp.rhs.tests for details.

hclimente/martini documentation built on Feb. 26, 2024, 6:23 p.m.