Package: temper 1.1.1

temper: Temporal Encoder-Masked Probabilistic Ensemble Regressor

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.

Authors:Giancarlo Vercellino [aut, cre, cph]

temper_1.1.1.tar.gz
temper_1.1.1.zip(r-4.7-any)temper_1.1.1.zip(r-4.6-any)temper_1.1.1.zip(r-4.5-any)
temper_1.1.1.tgz(r-4.6-any)temper_1.1.1.tgz(r-4.5-any)
temper_1.1.1.tar.gz(r-4.7-any)temper_1.1.1.tar.gz(r-4.6-any)
temper_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
temper/json (API)

# Install 'temper' in R:

install.packages('temper', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

dummy_set - Tech Stock Time Series Dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 14 downloads 1 exports 59 dependencies

Last updated from:a406eef2b8. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	218
source / vignettes	OK	203
linux-release-x86_64	OK	179
macos-release-arm64	OK	94
macos-oldrel-arm64	OK	123
windows-devel	OK	106
windows-release	OK	120
windows-oldrel	OK	120
wasm-release	OK	110