Learn R Programming

⚠️There's a newer version (1.2-9) of this package.Take me there.

hapassoc (version 1.1-1)

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

Description

The following R functions are used for likelihood inference of trait associations with haplotypes and other covariates in generalized linear models. The functions accommodate uncertain haplotype phase and can handle missing genotypes at some SNPs.

Copy Link

Version

Install

install.packages('hapassoc')

Monthly Downloads

208

Version

1.1-1

License

GPL version 2

Maintainer

K Burkett

Last Published

May 25th, 2022

Functions in hapassoc (1.1-1)

summary.hapassoc

Summarize results of the hapassoc function
hapassoc

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

Return likelihood ratio test of haplotype effect
logLik.hapassoc

Return log-likelihood
pre.hapassoc

Pre-process the data before fitting it with hapassoc
hypoDat

Simulated data for a hypothetical binary trait
hypoDatGeno

Simulated data for a hypothetical genetic SNPs