BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix,
coxme, foreign, grid, haplo.stats, kinship2, lattice, magic,
mets, nlme, pedigree, pedigreemm, regress, rms, survival

BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix,
coda, coxme, foreign, grid, haplo.stats, kinship2, lattice,
magic, mets, nlme, pedigree, pedigreemm, regress, rms, survival

BradleyTerry2, Design, Hmisc, MASS, grid, haplo.stats,
kinship, magic, pedigree, survival

BradleyTerry2, rms, Hmisc, MASS, NCBI2R, grid, haplo.stats,
kinship, magic, pedigree, survival

BradleyTerry2, rms, MASS, NCBI2R, grid, haplo.stats,
kinship2, magic, pedigree, survival
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, some
statistics in linkage analysis, and association analysis
involving one or more genetic markers including haplotype
analysis with or without environmental covariates.

BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix,
calibrate, circlize, coda, coxme, dplyr, foreign, forestplot,
gap.datasets, grid, haplo.stats, kinship2, lattice, magic,
meta, mets, nlme, pedigree, pedigreemm, plotrix, qqman,
regress, reshape, rmeta, rms, survival

BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix,
calibrate, circlize, coda, coxme, dplyr, foreign, forestplot,
gap.datasets, grid, haplo.stats, kinship2, lattice, magic,
matrixStats, meta, mets, nlme, pedigree, pedigreemm, plotrix,
qqman, regress, reshape, rmeta, rms, survival

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
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).