Package: tsSelect 0.1.8

tsSelect: Execution of Time Series Models

Execution of various time series models and choosing the best one either by a specific error metric or by picking the best one by majority vote. The models are based on the "forecast" package, written by Prof. Rob Hyndman.

Authors:Avi Blinder <[email protected]>

tsSelect_0.1.8.tar.gz
tsSelect_0.1.8.zip(r-4.5)tsSelect_0.1.8.zip(r-4.4)tsSelect_0.1.8.zip(r-4.3)
tsSelect_0.1.8.tgz(r-4.4-any)tsSelect_0.1.8.tgz(r-4.3-any)
tsSelect_0.1.8.tar.gz(r-4.5-noble)tsSelect_0.1.8.tar.gz(r-4.4-noble)
tsSelect_0.1.8.tgz(r-4.4-emscripten)tsSelect_0.1.8.tgz(r-4.3-emscripten)
tsSelect.pdf |tsSelect.html✨
tsSelect/json (API)

# Install 'tsSelect' in R:
install.packages('tsSelect', repos = c('https://aviblinder.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aviblinder/tsselect/issues

Datasets:

On CRAN:

2.70 score 4 scripts 120 downloads 1 exports 45 dependencies

Last updated 8 years agofrom:85bb483d7b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:run_models

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo