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.
|Author||Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), 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 <email@example.com>|
|License||Apache License (>= 2)|
|Package repository||View on CRAN|
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