codez
2.0.0Torch Seq2Seq Encoder-Decoder Model for Time-Feature Analysis
0packages depend
2.7Kdownloads / year
8.8%test coverage
13/13checks pass
Overview
About
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.
Install
Health
CRAN checks
13OK
Slowest check: 4.1 min · r-oldrel-windows-x86_64
Check history
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation signals are not tracked yet for this package.
Downloads
2.7K
CRAN downloads in the past year
Rank #14,763 · ~7/day · ~227/mo
codez
Daily download trend is not available in this view yet.
25730 days
73190 days
2.7K1 year
Also on106 r2u25 autocran
Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
Datasets
People & History
People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline
2 releases. R releases are shown for context.
- 2.0.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-03-10
- RR 4.5.0 released · 2025-04-11
0 of 2 selectedCompare selected
Package metadata
- First published
- 2022-09-23
- Total releases
- 2 / 4 yrs
- License
- GPL-3 OSI
- Download size
- 39 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet