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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. A description of the underlying methods and code interface is described in Huling and Chien (2022) <doi:10.18637/jss.v104.i06>.

Type Size Name Uploaded Downloads Labels
conda 1.2 MB | linux-64/r-oem-2.0.11-r43h884c59f_0.tar.bz2  1 year and 1 month ago 24 main
conda 787.2 kB | linux-64/r-oem-2.0.10-r42h884c59f_0.tar.bz2  2 years and 7 months ago 52 main
conda 676.8 kB | win-64/r-oem-2.0.9-r36h796a38f_0.tar.bz2  4 years and 11 months ago 84 main
conda 769.9 kB | osx-64/r-oem-2.0.9-r36h466af19_0.tar.bz2  4 years and 11 months ago 14 main
conda 695.6 kB | linux-64/r-oem-2.0.9-r36h29659fb_0.tar.bz2  4 years and 11 months ago 62 main

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