oem

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.

Last 30 days

This package has been downloaded 295 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

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Last 365 days

This package has been downloaded 4,631 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 01, 2024 with 84 downloads.

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