R

A summary

Shown below are links to packages I have maintained¹, with individual files to be found from https://github.com/jinghuazhao/R.

See also documentation reformatted by datacamp, https://www.rdocumentation.org/: gap, gap.datasets, lmm, pan. tdthap.

Packages2	CRAN	Vignette	GitHub	R package documentation
gap	https://cran.r-project.org/package=gap	gap3	https://github.com/cran/gap	https://rdrr.io/cran/gap/
		jss
		manual
		shinygap
gap.datasets	https://cran.r-project.org/package=gap.datasets		https://github.com/cran/gap.datasets	https://rdrr.io/cran/gap.datasets/
gap.examples		gap.examples
		h2
		pedtodot
		rnews
lmm	https://cran.r-project.org/package=lmm	lmm	https://github.com/cran/lmm	https://rdrr.io/cran/lmm/
pan	https://cran.r-project.org/package=pan	pan	https://github.com/cran/pan	https://rdrr.io/cran/pan/
tdthap	https://cran.r-project.org/package=tdthap	tdthap	https://github.com/cran/tdthap	https://rdrr.io/cran/tdthap/
kinship4	https://cran.r-project.org/src/contrib/Archive/kinship/	kinship	https://github.com/cran/kinship

It contains packages CGR which is not available from CRAN and kinship which has additional update.

Installation

You can install these packages either from CRAN, e.g.,

install.packages("pan", repos="https://cran.r-project.org")

or GitHub,

library(devtools)
install_github("jinghuazhao/R/gap", build_vignettes = TRUE)

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Footnotes

1. Contributed work

   • Network Regression method in TWAS, NeRiT.
   • g.binread function, GGIR & GGIRread.
   • ITHIM injurymodel through a hackathon at MRC.

   ↩

2. Featured CRAN task views:

   • Genetics: gap, tdthap
   • Meta-Analysis: gap
   • Social science: lmm, pan

   ↩

3. Additional use can be found from a package vignette pQTLtools. ↩

4. Windows package kinship_1.1.4.zip is built from kinship_1.1.4.tar.gz via https://win-builder.r-project.org/. ↩