quantreg

Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, doi:10.1017/CBO9780511754098 and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, doi:10.1201/9781315120256.

Last 30 days

This package has been downloaded 476,609 times in the last 30 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18,985 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 5,755,008 times in the last 365 days. Whoa! That's more downloads than an AI-generated meme in a tech-savvy group chat. Truly legendary! The day with the most downloads was Apr 29, 2024 with 35,802 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.