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. The speed
gains are obtained by reducing the NxP model matrix to a PxP matrix, and 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: |
0.3.0 |
| Depends: |
R (≥ 4.0) |
| Imports: |
stats, tibble |
| Suggests: |
broom, sandwich, testthat, patrick, rlang, covr |
| Published: |
2021-05-31 |
| Author: |
Mauricio Vargas 
[aut, cre],
Alexey Kravchenko [ths],
Constanza Prado [ths],
Yoto Yotov [ths],
Neal Fulz [rev] (independent code auditing),
Rahul Saxena [ctb] (improved broom integration),
The United Nations [dtc, cph, fnd] |
| Maintainer: |
Mauricio Vargas <mavargas11 at uc.cl> |
| BugReports: |
https://github.com/pachadotdev/eflm/issues/ |
| License: |
Apache License (≥ 2) |
| URL: |
https://github.com/pachadotdev/eflm/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
eflm results |
Documentation:
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