[aut, cre],
Sander Devriendt [aut],
Katrien Antonio [aut]Implementation of the SMuRF algorithm of Devriendt et al. (2018) <arXiv:1810.03136> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.1) |
| Imports: | catdata, glmnet (≥ 4.0), graphics, MASS, Matrix, methods, mgcv, parallel, RColorBrewer, Rcpp (≥ 0.12.12), speedglm, stats |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.8.300.1.0) |
| Suggests: | bookdown, knitr, roxygen2 (≥ 6.0.0), testthat |
| Published: | 2020-05-17 |
| Author: | Tom Reynkens
[aut, cre],
Sander Devriendt [aut],
Katrien Antonio [aut] |
| Maintainer: | Tom Reynkens <tomreynkens at hotmail.com> |
| BugReports: | https://gitlab.com/TReynkens/smurf/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://gitlab.com/TReynkens/smurf |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | smurf results |
| Reference manual: | smurf.pdf |
| Vignettes: |
Introduction to the smurf package |
| Package source: | smurf_1.0.6.tar.gz |
| Windows binaries: | r-devel: smurf_1.0.6.zip, r-release: smurf_1.0.6.zip, r-oldrel: smurf_1.0.6.zip |
| macOS binaries: | r-release: smurf_1.0.6.tgz, r-oldrel: smurf_1.0.6.tgz |
| Old sources: | smurf archive |
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