Shown below are links to packages I have maintained[^1], 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.
It contains packages CGR which is not available from CRAN and kinship which has additional update.
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)
[^1]: Contributed work
> - Network Regression method in TWAS, [NeRiT](https://github.com/XiuyuanJin/NeRiT).
> - `g.binread` function, [**GGIR**](https://cran.r-project.org/package=GGIR) & [GGIRread](https://cran.r-project.org/web/packages/GGIRread/index.html).
> - [**ITHIM** injurymodel](https://github.com/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/.