GENESIS-package         GENetic EStimation and Inference in Structured
                        samples (GENESIS): Statistical methods for
                        analyzing genetic data from samples with
                        population structure and/or relatedness
HapMap_ASW_MXL_KINGmat
                        Matrix of Pairwise Kinship Coefficient
                        Estimates for the combined HapMap ASW and MXL
                        Sample found with the KING-robust estimator
                        from the KING software.
admixMapMM              admixMapMM
assocTestMM             SNP Genotype Association Testing with Mixed
                        Models
assocTestSeq            Aggregate Association Testing with Sequencing
                        Data
assocTestSeqWindow      Aggregate Association Testing with Sequencing
                        Data in Sliding Windows
fitNullMM               Fit a Mixed Model Under the Null Hypothesis
fitNullReg              Fit a Regression Model Under the Null
                        Hypothesis
king2mat                Convert KING text output to an R Matrix
pcair                   PC-AiR: Principal Components Analysis in
                        Related Samples
pcairPartition          Partition a sample into an ancestry
                        representative 'unrelated subset' and a
                        'related subset'
pcrelate                PC-Relate: Model-Free Estimation of Recent
                        Genetic Relatedness
pcrelateMakeGRM         Creates a Genetic Relationship Matrix (GRM) of
                        Pairwise Kinship Coefficient Estimates from
                        PC-Relate Output
pcrelateReadInbreed     Create a Table of Inbreeding Coefficient
                        Estimates from PC-Relate Output
pcrelateReadKinship     Create a Table of Pairwise Kinship Coefficient
                        and IBD Sharing Probability Estimates from
                        PC-Relate Output
plot.pcair              PC-AiR: Plotting PCs
varCompCI               Variance Component Confidence Intervals
