write.baysic

matrix or dataframe containing the observed SNV and indel.  The indel counts should be contained in the final column.  Column names from this object will be used to create the model file.

mut.dat

optional matrix or dataframe of gene-level covariates. Column names from this object will be used to create the model file.

covar

optional vector of character strings which define prior distributions on the model parameters in the JAGS language format.  If <code>prior</code> is non-NULL, it should be of length equal to all possible model parameters (sum of number of columns of <code>mut.dat</code> and <code>covar</code>)

prior

file name of JAGS model file to be used.  Defaults to "baysic.jags"

fn.jags


Procedurally writes JAGS model files based upon the arguments for the BaySIC model fitting function <code>baysic.fit</code>.

This R package is the software implementation of the
algorithm BaySIC, a Bayesian approach toward analysis of
significantly mutated genes in cancer data.

write.baysic: Write BaySIC JAGS model files

Description

Usage

Arguments

Value

Details

See Also