eflm: Efficient Fitting of Linear and Generalized Linear Models

Efficient Fitting of Linear and Generalized Linear Models by using just base R. As an alternative to lm() and glm(), this package provides elm() and eglm(), with a significant speedup when the number of observations is larger than the number of parameters to estimate, as it reduces the NxP model matrix to a PxP matrix. The best computational performance is obtained when R is linked against 'OpenBLAS', 'Intel MKL' or other optimized 'BLAS' library. This implementation aims at being compatible with 'broom' and 'sandwich' packages for summary statistics and clustering by providing S3 methods.

Version: 0.1
Imports: stats, zoo, methods, utils, vctrs
Suggests: testthat (≥ 3.0.0), covr, sandwich, MASS, tibble, broom
Published: 2021-02-15
Author: Mauricio Vargas ORCID iD [aut, cre], Alexey Kravchenko [ths], Constanza Prado [ths], Yoto Yotov [ths], The United Nations [dtc, cph, fnd]
Maintainer: Mauricio Vargas <mvargas at dcc.uchile.cl>
BugReports: https://github.com/pachamaltese/eflm/issues/
License: GPL (≥ 3)
URL: https://github.com/pachamaltese/eflm/
NeedsCompilation: no
CRAN checks: eflm results


Reference manual: eflm.pdf
Package source: eflm_0.1.tar.gz
Windows binaries: r-devel: eflm_0.1.zip, r-release: eflm_0.1.zip, r-oldrel: not available
macOS binaries: r-release: eflm_0.1.tgz, r-oldrel: not available


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