The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). <doi:10.1214/009053607000000505>. Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). <doi:10.1126/science.1205438>.
| Version: | 1.2.1 |
| Imports: | stats, utils |
| Published: | 2018-06-25 |
| DOI: | 10.32614/CRAN.package.mlf |
| Author: | Kyle Peterson [aut, cre] |
| Maintainer: | Kyle Peterson <petersonkdon at gmail.com> |
| License: | GPL-2 |
| URL: | http://mlf-project.us/ |
| NeedsCompilation: | no |
| CRAN checks: | mlf results |
| Reference manual: | mlf.pdf |
| Package source: | mlf_1.2.1.tar.gz |
| Windows binaries: | r-devel: mlf_1.2.1.zip, r-release: mlf_1.2.1.zip, r-oldrel: mlf_1.2.1.zip |
| macOS binaries: | r-release (arm64): mlf_1.2.1.tgz, r-oldrel (arm64): mlf_1.2.1.tgz, r-release (x86_64): mlf_1.2.1.tgz, r-oldrel (x86_64): mlf_1.2.1.tgz |
| Old sources: | mlf archive |
Please use the canonical form https://CRAN.R-project.org/package=mlf to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.