rTRNG
Advanced and Parallel Random Number Generation via 'TRNG'
Embeds sources and headers from Tina's Random Number Generator ('TRNG') C++ library. Exposes some functionality for easier access, testing and benchmarking into R. Provides examples of how to use parallel RNG with 'RcppParallel'. The methods and techniques behind 'TRNG' are illustrated in the package vignettes and examples. Full documentation is available in Bauke (2021) https://github.com/rabauke/trng4/blob/v4.23.1/doc/trng.pdf.
- Version4.23.1-2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/14/2022
Documentation
Team
Riccardo Porreca
Mirai Solutions GmbH
Show author detailsRolesCopyright holderRoland Schmid
Show author detailsRolesAuthorHeiko Bauke
Show author detailsRolesContributor, Copyright holder
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- Imports2 packages
- Suggests5 packages
- Linking To2 packages