Package: hapassoc 1.2-9
hapassoc: Inference of Trait Associations with SNP Haplotypes and Other Attributes using the EM Algorithm
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.
Authors:
hapassoc_1.2-9.tar.gz
hapassoc_1.2-9.zip(r-4.5)hapassoc_1.2-9.zip(r-4.4)hapassoc_1.2-9.zip(r-4.3)
hapassoc_1.2-9.tgz(r-4.4-x86_64)hapassoc_1.2-9.tgz(r-4.4-arm64)hapassoc_1.2-9.tgz(r-4.3-x86_64)hapassoc_1.2-9.tgz(r-4.3-arm64)
hapassoc_1.2-9.tar.gz(r-4.5-noble)hapassoc_1.2-9.tar.gz(r-4.4-noble)
hapassoc_1.2-9.tgz(r-4.4-emscripten)hapassoc_1.2-9.tgz(r-4.3-emscripten)
hapassoc.pdf |hapassoc.html✨
hapassoc/json (API)
# Install 'hapassoc' in R: |
install.packages('hapassoc', repos = c('https://kmburkett.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sfustatgen/research/issues
- hypoDat - Simulated data for a hypothetical binary trait
- hypoDatGeno - Simulated data for a hypothetical genetic SNPs
Last updated 3 years agofrom:e844507d05. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-aarch64 | OK | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:hapassocpre.hapassoc
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Return likelihood ratio test of haplotype effect | anova.hapassoc |
EM algorithm to fit maximum likelihood estimates of trait associations with SNP haplotypes | hapassoc |
Simulated data for a hypothetical binary trait | hypoDat |
Simulated data for a hypothetical genetic SNPs | hypoDatGeno |
Return log-likelihood | logLik.hapassoc |
Pre-process the data before fitting it with hapassoc | pre.hapassoc |
Summarize results of the hapassoc function | summary.hapassoc |