buildCPTs {fbnet}R Documentation

buildCPTs: a function for building conditional probability tables based on pedigree bayesian network.

Description

buildCPTs: a function for building conditional probability tables based on pedigree bayesian network.

Usage

buildCPTs(
  bn,
  bNodePrunning = TRUE,
  bStateRemoval = TRUE,
  bStateRemoval2 = TRUE,
  lumpingParameter = NULL,
  renorm = "row-wise",
  verbose = FALSE
)

Arguments

bn

A bayesian network for pedigree object with information of the genotyped members. The ped object must be in Familias format.

bNodePrunning

Standard pruning.

bStateRemoval

State based pruning.

bStateRemoval2

State based pruning (model 2).

lumpingParameter

Used for stepwise mutational model.

renorm

If "row-wise" is selected, zero probability is assigned for transitions out of range.

verbose

Computations output.

Value

A bayesian network based on pedigree evidence and QP definition.

Examples

pbn  <- initBN(toyped)
bnet <- buildBN(pbn,QP=3)
bn1  <- buildCPTs(bnet)

[Package fbnet version 1.0.3 Index]