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

admixMapMMadmixMapMM
assocTestAggregateAggregate Association Testing
assocTestMMSNP Genotype Association Testing with Mixed Models
assocTestSeqAggregate Association Testing with Sequencing Data
assocTestSeqWindowAggregate Association Testing with Sequencing Data in Sliding...
assocTestSingleGenotype Association Testing with Mixed Models
deprecatedDeprecated functions in package 'GENESIS'
fitNullMMFit a Mixed Model Under the Null Hypothesis
fitNullModelFit a Model Under the Null Hypothesis
fitNullRegFit a Regression Model Under the Null Hypothesis
GENESIS-packageGENetic EStimation and Inference in Structured samples...
HapMap_ASW_MXL_KINGmatMatrix of Pairwise Kinship Coefficient Estimates for the...
king2matConvert KING text output to an R Matrix
pcairPC-AiR: Principal Components Analysis in Related Samples
pcairPartitionPartition a sample into an ancestry representative 'unrelated...
pcrelatePC-Relate: Model-Free Estimation of Recent Genetic...
pcrelateMakeGRMCreates a Genetic Relationship Matrix (GRM) of Pairwise...
pcrelateReadInbreedCreate a Table of Inbreeding Coefficient Estimates from...
pcrelateReadKinshipCreate a Table of Pairwise Kinship Coefficient and IBD...
plot.pcairPC-AiR: Plotting PCs
varCompCIVariance Component Confidence Intervals
smgogarten/GENESIS documentation built on April 18, 2018, 1:16 p.m.