SIMEXBoost

Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) doi:10.1007/s11222-023-10209-3 and the accelerated failure time (AFT) model in Chen and Qiu (2023) doi:10.1111/biom.13898. Some relevant references include Chen and Yi (2021) doi:10.1111/biom.13331 and Hastie, Tibshirani, and Friedman (2008, ISBN:978-0387848570).

Last 30 days

This package has been downloaded 145 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 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 2,044 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 Sep 11, 2024 with 23 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.