ebTobit

Estimation tools for multidimensional Gaussian means using empirical Bayesian g-modeling. Methods are able to handle fully observed data as well as left-, right-, and interval-censored observations (Tobit likelihood); descriptions of these methods can be found in Barbehenn and Zhao (2023) doi:10.48550/arXiv.2306.07239. Additional, lower-level functionality based on Kiefer and Wolfowitz (1956) doi:10.1214/aoms/1177728066 and Jiang and Zhang (2009) doi:10.1214/08-AOS638 is provided that can be used to accelerate many empirical Bayes and nonparametric maximum likelihood problems.

Last 30 days

This package has been downloaded 163 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 4 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 2,282 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 May 05, 2024 with 43 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.