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 284 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,611 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 01, 2024 with 84 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.