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oem  

Orthogonalizing EM: Penalized Regression for Big Tall Data
View on CRAN: Click here


Download and install oem package within the R console
Install from CRAN:
install.packages("oem")

Install from Github:
library("remotes")
install_github("cran/oem")

Install by package version:
library("remotes")
install_version("oem", "2.0.12")



Attach the package and use:
library("oem")
Maintained by
Jared Huling
[Scholar Profile | Author Map]
First Published: 2012-09-09
Latest Update: 2022-10-13
Description:
Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) . 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) .
How to cite:
Jared Huling (2012). oem: Orthogonalizing EM: Penalized Regression for Big Tall Data. R package version 2.0.12, https://cran.r-project.org/web/packages/oem. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.01 (2012-09-09 19:10), 1.02.1 (2014-01-06 17:30), 1.02 (2012-12-30 08:12), 2.0.1 (2016-10-19 12:58), 2.0.2 (2016-10-25 20:32), 2.0.3 (2016-10-26 10:37), 2.0.4 (2017-02-21 08:43), 2.0.5 (2017-03-22 13:16), 2.0.6 (2017-07-06 16:41), 2.0.7 (2018-02-01 06:21), 2.0.8 (2018-03-26 06:05), 2.0.9 (2018-10-30 11:40), 2.0.10 (2020-06-04 14:00), 2.0.11 (2022-10-13 10:20)
Other packages that cited oem R package
View oem citation profile
Other R packages that oem depends, imports, suggests or enhances
Complete documentation for oem
Functions, R codes and Examples using the oem R package
Some associated functions: big.oem . cv.oem . deprecated . logLik . oem . oem.xtx . plot . predict.cv.oem . predict.oem . predict.xval.oem . print . summary . xval.oem . 
Some associated R codes: big_oem.R . cv_oem.R . deprecated_functions.R . methods.R . oem.R . oem_xtx.R . oem_xval.R . utils.R .  Full oem package functions and examples
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