Inference About Relationships from DNA Mixtures
Evaluates mixture log likelihood when extra findings present
Analysis of DNA mixtures with familial relationships by looping
Convert genotype profile to reference profile format
Maximises mixture likelihood when extra findings present
Construct IBD pattern distribution from pedigree
Plot IBD patterns and pattern distributions
Protect against numerical errors in maximum likelihood computation
Catch numerical errors, and return -Inf
Force compilation of all BNs in a DNA mixture model
Simulate random genotype profiles and DNA samples for related individu...
Random number initialiser supporting spontaneous replication
Replace CPTs for AMEL marker in a DNA mixture
Replacing CPTs for selected mixture contributors with familial relatio...
Replace CPTs in a DNA mixture to model uncertain allele frequencies
Calculate and display total size of BN tables for a DNA mixture
Computes paternity LR using WLR method
Delete D and Q dummy nodes from all Bayes nets in mixture
Evaluates mixture log likelihood for unknown contributors with extra f...
Replace CPTs for mixture contributor a Father, given Child genotype, b...
Replace CPTs for mixture contributor a Father, given Child and Mother ...
Replace CPTs for mixture contributor a Father, given Child genotype, b...
Extract genotype profile for a single contributor from rGTs output
Check and modify database to have positive frequencies for all observe...
Convert relationship information to IBD pattern distribution
Coding additional findings as expression
Formats
Converts genotype profiles to allele count arrays
Edit output from rGTs to omit individuals with NA amounts of DNA
tools:::Rd_package_title("KinMixLite")
Methods for inference about/under complex relationships using peak height data from DNA mixtures: the most basic example would be testing whether a contributor to a mixture is the father of a child of known genotype. This provides most of the functionality of the 'KinMix' package, but with some loss of efficiency and restriction on problem size, as the latter uses 'RHugin' as the Bayes net engine, while this package uses 'gRain'. The package implements the methods introduced in Green, P. J. and Mortera, J. (2017) <doi:10.1016/j.fsigen.2017.02.001> and Green, P. J. and Mortera, J. (2021) <doi:10.1111/rssc.12498>.