MAP2: Computes maximum a posteriori estimate for the trio copy...

In rscharpf/MinimumDistance: A Package for De Novo CNV Detection in Case-Parent Trios

Description

Computes maximum a posteriori estimate for the trio copy number state

Usage

MAP2(object, mdgr, param = MinDistParam(), ...)

## S4 method for signature 'MinDistExperiment,MinDistGRanges'
MAP2(object, mdgr,
  param = MinDistParam(), ...)

## S4 method for signature 'MinDistExperiment,GRangesList'
MAP2(object, mdgr,
  param = MinDistParam(), ...)

## S4 method for signature 'MinDistExperiment,GRanges'
MAP2(object, mdgr,
  param = MinDistParam(), ...)

Arguments

object	An object of class MinDistExperiment
mdgr	An object of class MinDistGRanges, GRangesList, or GRanges.
param	An object of class MinDistParam.
...	ignored

Value

An object of class MinDistPosterior

Examples

  library(oligoClasses)
  library(VanillaICE)
  ## A MinDistExperiment object:
  data(md_exp)
  ## Segmented data
  data(md_gr)
  e_param <- EmissionParam(temper=1, p_outlier=1/100)
  param <- MinDistParam(thin=1L, emission=e_param)
## Not run: 
  md_g <- MAP2(md_exp, md_gr, param)

## End(Not run)

rscharpf/MinimumDistance documentation built on Sept. 16, 2019, 4:12 a.m.