References
Dowle, Matt, and Arun Srinivasan. 2021. Data.table: Extension of
‘Data.frame‘. https://CRAN.R-project.org/package=data.table.
Eddelbuettel, Dirk. 2013. Seamless R and
C++ Integration with Rcpp. New York:
Springer. https://doi.org/10.1007/978-1-4614-6868-4.
Eddelbuettel, Dirk, and James Joseph Balamuta. 2018. “Extending extitR with extitC++:
A Brief Introduction to extitRcpp.” The
American Statistician 72 (1): 28–36. https://doi.org/10.1080/00031305.2017.1375990.
Eddelbuettel, Dirk, and Romain François. 2011. “Rcpp:
Seamless R and C++ Integration.”
Journal of Statistical Software 40 (8): 1–18. https://doi.org/10.18637/jss.v040.i08.
LUMI consortium. 2023. “Documentation - Distribution and
Binding.” https://docs.lumi-supercomputer.eu/runjobs/scheduled-jobs/distribution-binding/.
R Core Team. 2023. R: A Language and Environment for Statistical
Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Rue-Albrecht, Kevin, Daniela Cassol, Johannes Rainer, and Lori Shepherd.
n.d. Welcome | Bioconductor Packages:
Development, Maintenance, and Peer
Review. Accessed May 2, 2023.
Vega Yon, George, and Paul Marjoram. 2019. “slurmR: A Lightweight
Wrapper for HPC with Slurm.” The Journal of Open Source
Software 4 (39). https://doi.org/10.21105/joss.01493.
———. 2022. slurmR: A Lightweight Wrapper for
’Slurm’. https://github.com/USCbiostats/slurmR.
Yoo, Andy B., Morris A. Jette, and Mark Grondona. 2003. “SLURM:
Simple Linux Utility for Resource Management.” In Job
Scheduling Strategies for Parallel Processing, edited by Dror
Feitelson, Larry Rudolph, and Uwe Schwiegelshohn, 2862:44–60. Lecture
Notes in Computer Science. Berlin, Heidelberg: Springer Berlin
Heidelberg. https://doi.org/10.1007/10968987_3.