Forensic Bayesian Networks
buildBN: a function for building the bayesian network.
buildCPTs: a function for building conditional probability tables base...
evidencePrunning: a fuction for pruning instantiated variables.
factorHeteroFounders: a function for multiplying probabilities in case...
fbnet: Forensic Bayesian Networks
getConditional: a function for obtaining the coditional probability ta...
getGenotypeTables: a function for obtaining genotypetables after varia...
getLocusCPT: a function for obtaining the coditional probability table...
factorHeteroFounders: a function for multiplying probabilities in case...
getGenotypeTables: a function for obtaining genotypetables after varia...
getValuesOut: a function for getting out variables with zero probabili...
imposeEvidence: a fuction for imposing evidence in the bayesian networ...
initBN.fromPed: a function to initialize the bayesian network.
initBN.fromVars: a function to initialize the bayesian network.
initBN: a function to initialize the bayesian network.
minOrdering: a function for getting an ordering of bayesian network va...
prodFactor: a function for performing product between probability tabl...
pruneNodes: a fuction for clasical pruning in bayesian networks.
removeEvidenceFromPed: a function for removing evidence from specific ...
reportLR: a function for calculating the LRs of specified genotypes in...
reportPQ: a function for calculating the probability of specified geno...
reverseSpit: a function for formatting.
setOrdering: a function for selecting the ordering method in the elimi...
stateRemoval: a function for processing the bayesian network.
stateRemoval2: a function for processing the bayesian network. It impl...
stateRemovalSubnucs: a fuctiong for variable state pruning.
prodFactor: a function for performing sum between probability tables.
velim.bn: a function for variable elimination in a bayesian network.
Open-source package for computing likelihood ratios in kinship testing and human identification cases. It has the core function of the software GENis, developed by Fundación Sadosky. It relies on a Bayesian Networks framework and is particularly well suited to efficiently perform large-size queries against databases of missing individuals.
Useful links