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temper

Temporal Encoder-Masked Probabilistic Ensemble Regressor

v1.1.0 · Aug 18, 2025 · GPL-3

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.

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
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r-patched-linux-x86_64 OK
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r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies torch purrr imputeTS lubridate ggplot2 scales temper

Version History

new 1.1.0 Mar 10, 2026
updated 1.1.0 ← 1.0.0 diff Aug 17, 2025
new 1.0.0 Jul 14, 2025