Package: lambdaTS 2.0.0

lambdaTS: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis

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.

Authors:Giancarlo Vercellino [aut, cre]

lambdaTS_2.0.0.tar.gz
lambdaTS_2.0.0.zip(r-4.7-any)lambdaTS_2.0.0.zip(r-4.6-any)lambdaTS_2.0.0.zip(r-4.5-any)
lambdaTS_2.0.0.tgz(r-4.6-any)lambdaTS_2.0.0.tgz(r-4.5-any)
lambdaTS_2.0.0.tar.gz(r-4.7-any)lambdaTS_2.0.0.tar.gz(r-4.6-any)
lambdaTS_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lambdaTS/json (API)

# Install 'lambdaTS' in R:

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

Datasets:

bitcoin_gold_oil - Bitcoin_gold_oil data set

On CRAN:

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

2.00 score 4 scripts 395 downloads 1 exports 30 dependencies

Last updated from:efd3cd94c8. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	149
source / vignettes	OK	170
linux-release	OK	169
macos-release	OK	140
macos-oldrel	OK	124
windows-devel	OK	96
windows-release	OK	108
windows-oldrel	OK	105
wasm-release	OK	86