Package: engression
Title: Engression Modelling
Version: 0.1.6
Authors@R: c(person("Xinwei", "Shen", role = c("aut"), email = "xinwei.shen@stat.math.ethz.ch"), person("Nicolai", "Meinshausen", role = c("aut", "cre"), email = "meinshausen@stat.math.ethz.ch")) 
Description: Fits engression models for nonlinear distributional regression. Predictors and targets can be univariate or multivariate. Functionality includes estimation of conditional mean, estimation of conditional quantiles, or sampling from the fitted distribution. Training is done full-batch on CPU (the python version offers GPU-accelerated stochastic gradient descent). Based on "Engression: Extrapolation through the lens of distributional regression" by Xinwei Shen and Nicolai Meinshausen (2024) in JRSSB. Also supports classification (experimental). 
 <doi:10.1093/jrsssb/qkae108>.
URL: https://github.com/xwshen51/engression/
BugReports: https://github.com/xwshen51/engression/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: torch
NeedsCompilation: no
Packaged: 2026-04-15 21:26:57 UTC; nicolai
Author: Xinwei Shen [aut],
  Nicolai Meinshausen [aut, cre]
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2026-04-16 05:10:08 UTC
Built: R 4.6.0; ; 2026-04-26 03:28:47 UTC; unix
