# GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

## Documentation for package ‘GENESIS’ version 2.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

GENESIS-package | GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
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
GENESIS | 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.
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
print.pcair | PC-AiR: Principal Components Analysis in Related Samples
print.summary.pcair | PC-AiR: Principal Components Analysis in Related Samples
summary.pcair | PC-AiR: Principal Components Analysis in Related Samples
varCompCI | Variance Component Confidence Intervals