mincut.cv {martini} | R Documentation

## 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
    )

### 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.

[Package martini version 1.14.0 Index]