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: 2026-07-15 06:48:43 UTC; root
Author: Xinwei Shen [aut], Nicolai Meinshausen [aut, cre]
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-16 06:15:52 UTC
RemoteUrl: https://github.com/cran/engression
RemoteRef: HEAD
RemoteSha: ffd38164a5f776168fb75c4973a923012a1b034b