dirttee

Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) “Weighted Expectile Regression for Right-Censored Data” doi:10.1002/sim.9137, mode regression for time-to-event variables has been introduced in Seipp et al. (2022) “Flexible Semiparametric Mode Regression for Time-to-Event Data” doi:10.1177/09622802221122406.

Last 30 days

This package has been downloaded 225 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 9 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 2,832 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 22, 2025 with 28 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.