R-universe search: needs:expectreg

Showing 2 of total 2 results (show query)

cran

dirttee:Distributional Regression for Time to Event Data

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>.

Maintained by Alexander Seipp. Last updated 1 years ago.

1.00 score

16cile

locpolExpectile:Local Polynomial Expectile Regression

Provides the local polynomial expectile regression method and different bandwidth selection procedures. The codes include local polynomial univariate expectile regression with several data-driven methods for bandwidth selection; local linear bivariate and trivariate expectile regression; and partially linear expectile regression, allowing for different errors structures (homoscedastic error and various heteroscedastic error structures). For more details, see Adam and Gijbels (2021a) <doi:10.1007/s10463-021-00799-y> and Adam and Gijbels (2021b) <doi:10.1007/978-3-030-73249-3_8>.

Maintained by Cécile Adam. Last updated 4 years ago.

1.00 score 4 scripts