[aut, cre],
Yixuan Qiu [ctb],
Gael Guennebaud [cph],
Jitse Niesen [cph]Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
| Version: | 2.0.10 |
| Depends: | R (≥ 3.2.0), bigmemory |
| Imports: | Rcpp (≥ 0.11.0), Matrix, foreach, methods |
| LinkingTo: | Rcpp, RcppEigen, BH, bigmemory, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-06-04 |
| Author: | Bin Dai [aut],
Jared Huling
[aut, cre],
Yixuan Qiu [ctb],
Gael Guennebaud [cph],
Jitse Niesen [cph] |
| Maintainer: | Jared Huling <jaredhuling at gmail.com> |
| BugReports: | https://github.com/jaredhuling/oem/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://arxiv.org/abs/1801.09661, https://github.com/jaredhuling/oem, https://jaredhuling.github.io/oem |
| NeedsCompilation: | yes |
| Citation: | oem citation info |
| Materials: | README |
| CRAN checks: | oem results |
| Reference manual: | oem.pdf |
| Vignettes: |
Usage of the oem Package |
| Package source: | oem_2.0.10.tar.gz |
| Windows binaries: | r-devel: oem_2.0.10.zip, r-release: oem_2.0.10.zip, r-oldrel: oem_2.0.10.zip |
| macOS binaries: | r-release: oem_2.0.10.tgz, r-oldrel: oem_2.0.10.tgz |
| Old sources: | oem archive |
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