make_cna_mat: Create a Canopy ready CNA matrix and their corresponding...
In AxelitoMartin/TumorEvolution:

Create a Canopy ready CNA matrix and their corresponding variance matrices

make_cna_mat(
  cna.files = list.files(),
  path = ".",
  sample.names = NULL,
  cval = 100,
  snp.nbhd = 250,
  epsilon = 0,
  min.nhet = 5,
  min.num.mark = 50
)

`cna.files`	Names of the files to be read in and processed. Default will be all the files found in the working directory.
`path`	relative path to the folder containing the samples to be processed. Default is current directory.
`sample.names`	Custom names to be given to the samples. Default is NULL.
`cval`	Default is 100.
`snp.nbhd`	Default is 250.
`epsilon`	Default is 0.
`min.nhet`	Minimal number of hets to be found in segments to be accounted for
`min.num.mark`	Minimal number of variants to be found in segments to be accounted for