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Probabilistic multivariate time series forecasting using a variational sequence-to-sequence model with Lambda-style temporal aggregation. Provides transformations, uncertainty estimates, diagnostics, and publication-ready plots.
| Version: | 2.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, torch |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-07 |
| DOI: | 10.32614/CRAN.package.lambdaTS |
| Author: | Giancarlo Vercellino [aut, cre] |
| Maintainer: | Giancarlo Vercellino <giancarlo.vercellino at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | lambdaTS results |
| Reference manual: | lambdaTS.html , lambdaTS.pdf |
| Vignettes: |
lambdaTS 2.0: probabilistic multivariate forecasting (source, R code) |
| Package source: | lambdaTS_2.0.0.tar.gz |
| Windows binaries: | r-devel: lambdaTS_2.0.0.zip, r-release: lambdaTS_2.0.0.zip, r-oldrel: lambdaTS_2.0.0.zip |
| macOS binaries: | r-release (arm64): lambdaTS_1.1.tgz, r-oldrel (arm64): lambdaTS_2.0.0.tgz, r-release (x86_64): lambdaTS_2.0.0.tgz, r-oldrel (x86_64): lambdaTS_2.0.0.tgz |
| Old sources: | lambdaTS archive |
Please use the canonical form https://CRAN.R-project.org/package=lambdaTS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.