Authors@R: c(person("Jing Hua", "Zhao", role = c("aut", "cre"),
calibrate, circlize, coda, cowplot, coxme, foreign, forestplot,
genetics, grid, haplo.stats, htmlwidgets, jsonlite, kinship2,
knitr, lattice, magic, matrixStats, meta, metafor, mets, nlme,
pedigree, pedigreemm, plotrix, reshape, rmarkdown, rmeta, rms,
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18.
<doi:10.18637/jss.v023.i08>], 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
Author: Jing Hua Zhao [aut, cre] (<https://orcid.org/0000-0002-1463-5870>,

person("Achim", "Zeileis", role = "ctb")
Suggests: BradleyTerry2, DiagrammeR, DOT, MASS, Matrix, MCMCglmm,
R2jags, bdsmatrix, calibrate, circlize, coda, cowplot, coxme,
foreign, forestplot, genetics, grid, haplo.stats, htmlwidgets,
jsonlite, kinship2, knitr, lattice, magic, manhattanly,
matrixStats, meta, metafor, mets, nlme, pedigree, pedigreemm,
plotrix, readr, reshape, rmarkdown, rmeta, rms, survival

Author: Jing Hua Zhao with suggestions from R-Core
Description: Datasets associated with the 'gap' package. Currently,
it includes an example data for regional association
plot (CDKN), Manhattan plots with (hr1420, mhtdata) and

plot (CDKN), an example data for a genomewide association
meta-analysis (OPG), Manhattan plots with (hr1420, mhtdata)

person("Swetlana", "Herbrandt", role = "ctb"))
meta-analysis (OPG), data in studies of Parkinson's diease (PD),
ALHD2 markers and alcoholism (aldh2), APOE/APOC1 markers
and Schizophrenia (apoeapoc), cystic fibrosis (cf), a
Olink/INF panel (inf1), Manhattan plots with (hr1420, mhtdata)