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-4.7)tsSelect_0.1.8.zip(r-4.6)tsSelect_0.1.8.zip(r-4.5)
tsSelect_0.1.8.tgz(r-4.6-any)tsSelect_0.1.8.tgz(r-4.5-any)
tsSelect_0.1.8.tar.gz(r-4.7-any)tsSelect_0.1.8.tar.gz(r-4.6-any)
tsSelect_0.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tsSelect/json (API)

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

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

Datasets:

On CRAN:

Conda:

2.70 score 4 scripts 185 downloads 1 exports 31 dependencies

Last updated from:85bb483d7b. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE135
source / vignettesOK154
linux-release-x86_64NOTE133
macos-release-arm64NOTE149
macos-oldrel-arm64NOTE156
windows-develNOTE107
windows-releaseNOTE111
windows-oldrelNOTE104
wasm-releaseOK97

Exports:run_models

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo