It is designed as an integrated package for genetic data
analysis of both population and family data. Currently, it
contains functions for sample size calculations of both
population-based and family-based designs, probability of
familial disease aggregation, kinship calculation, statistics
in linkage analysis, and association analysis involving genetic
markers including haplotype analysis with or without environmental
covariates. Over years, the package has been developed in-between
many projects hence also in line with the name (gap).
Version: |
1.2.3-1 |
Depends: |
R (≥ 2.10) |
Suggests: |
BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix, calibrate, circlize, coda, cowplot, coxme, dplyr, foreign, forestplot, gap.datasets, genetics, ggplot2, grid, haplo.stats, jsonlite, kinship2, lattice, magic, matrixStats, meta, metafor, mets, nlme, pedigree, pedigreemm, plotly, plotrix, reshape, rmeta, rms, survival |
Published: |
2021-04-21 |
Author: |
Jing Hua Zhao and colleagues with inputs from Kurt Hornik and
Brian Ripley |
Maintainer: |
Jing Hua Zhao <jinghuazhao at hotmail.com> |
BugReports: |
https://github.com/jinghuazhao/R/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/jinghuazhao/R |
NeedsCompilation: |
yes |
Citation: |
gap citation info |
Materials: |
ChangeLog |
In views: |
MetaAnalysis |
CRAN checks: |
gap results |