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hapassoc (version 1.2-1)

Inference of trait associations with SNP haplotypes and other attributes using the EM Algorithm

Description

The following R functions are used for inference of trait associations with haplotypes and other covariates in generalized linear models. The functions are developed primarily for data collected in cohort or cross-sectional studies. They can accommodate uncertain haplotype phase and handle missing genotypes at some SNPs.

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Version

Install

install.packages('hapassoc')

Monthly Downloads

208

Version

1.2-1

License

GPL version 2

Maintainer

K Burkett

Last Published

May 25th, 2022

Functions in hapassoc (1.2-1)

logLik.hapassoc

Return log-likelihood
hapassoc

EM algorithm to fit maximum likelihood estimates of trait associations with SNP haplotypes
pre.hapassoc

Pre-process the data before fitting it with hapassoc
anova.hapassoc

Return likelihood ratio test of haplotype effect
summary.hapassoc

Summarize results of the hapassoc function
hypoDat

Simulated data for a hypothetical binary trait
hypoDatGeno

Simulated data for a hypothetical genetic SNPs