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

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

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