jaffelab
is a package initially developed by Andrew E Jaffe’s team at
the Lieber Institute for Brain Development. It contains several helper
functions used in their analyses.
Get the latest stable R
release from
CRAN. Then install jaffelab
using the
following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("LieberInstitute/jaffelab")
Below is the citation output from using citation('jaffelab')
in R.
Please run this yourself to check for any updates on how to cite
jaffelab.
print(citation("jaffelab"), bibtex = TRUE)
#> To cite package 'jaffelab' in publications use:
#>
#> Collado-Torres L, Jaffe AE, Burke EE (2024). _jaffelab: Commonly used
#> functions by the Jaffe lab_. R package version 0.99.34,
#> <https://github.com/LieberInstitute/jaffelab>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {jaffelab: Commonly used functions by the Jaffe lab},
#> author = {Leonardo Collado-Torres and Andrew E. Jaffe and Emily E. Burke},
#> year = {2024},
#> note = {R package version 0.99.34},
#> url = {https://github.com/LieberInstitute/jaffelab},
#> }
Please note that the jaffelab
was only made possible thanks to many
other R and bioinformatics software authors, which are cited either in
the vignettes and/or the paper(s) describing this package.
Please note that the jaffelab
project is released with a Contributor
Code of Conduct. By
contributing to this project, you agree to abide by its terms.
- Continuous code testing is possible thanks to GitHub actions through usethis, remotes, and rcmdcheck customized to use Bioconductor’s docker containers and BiocCheck.
- Code coverage assessment is possible thanks to codecov and covr.
- The documentation website is automatically updated thanks to pkgdown.
- The code is styled automatically thanks to styler.
- The documentation is formatted thanks to devtools and roxygen2.
For more details, check the dev
directory.
This package was developed using biocthis.