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 135 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 2 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 2,031 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 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.