codez: Torch Seq2Seq Encoder-Decoder Model for Time-Feature Analysis

Proposes Seq2seq Time-Feature Analysis using a torch Encoder-Decoder to project into latent space and a Forward Network to predict the next sequence, with dependency-light local support functions, tidy outputs and baseline backtesting helpers.

Version: 2.0.0
Depends: R (≥ 3.6)
Suggests: testthat (≥ 3.0.0), torch
Published: 2026-07-17
DOI: 10.32614/CRAN.package.codez
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at gmail.com>
License: GPL-3
URL: https://rpubs.com/giancarlo_vercellino/codez
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: codez results

Documentation:

Reference manual: codez.html , codez.pdf

Downloads:

Package source: codez_2.0.0.tar.gz
Windows binaries: r-devel: codez_1.0.0.zip, r-release: codez_2.0.0.zip, r-oldrel: codez_1.0.0.zip
macOS binaries: r-release (arm64): codez_2.0.0.tgz, r-oldrel (arm64): codez_2.0.0.tgz, r-release (x86_64): codez_2.0.0.tgz, r-oldrel (x86_64): codez_2.0.0.tgz
Old sources: codez archive

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