buildCPTs: buildCPTs: a function for building conditional probability...

In fbnet: Forensic Bayesian Networks

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)

fbnet documentation built on July 9, 2023, 6:24 p.m.