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hapassoc (version 1.2-9)

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

434

Version

1.2-9

License

GPL-2

Maintainer

Last Published

May 25th, 2022

Functions in hapassoc (1.2-9)

hypoDat

Simulated data for a hypothetical binary trait
anova.hapassoc

Return likelihood ratio test of haplotype effect
pre.hapassoc

Pre-process the data before fitting it with hapassoc
hapassoc

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

Return log-likelihood
summary.hapassoc

Summarize results of the hapassoc function
hypoDatGeno

Simulated data for a hypothetical genetic SNPs