Package: temper
Type: Package
Title: Temporal Encoder-Masked Probabilistic Ensemble Regressor
Version: 1.1.1
Authors@R: c(person("Giancarlo", "Vercellino", role = c("aut", "cre", "cph"), email = "giancarlo.vercellino@gmail.com"))
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Implements a probabilistic ensemble time-series forecaster that combines an auto-encoder with a neural decision forest whose split variables are learned through a differentiable feature-mask layer. Functions are written with 'torch' tensors and provide CRPS (Continuous Ranked Probability Scores) training plus mixture-distribution post-processing.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: torch (>= 0.11.0), purrr (>= 1.0.1), imputeTS (>= 3.3),
        lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0)
URL: https://rpubs.com/giancarlo_vercellino/temper
Suggests: knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-16 04:51:23 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-07-16 08:00:02 UTC
Built: R 4.6.0; ; 2026-07-16 09:53:09 UTC; unix
