Package: ngboostForecast 0.1.1

Resul Akay

ngboostForecast: Probabilistic Time Series Forecasting

Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.

Authors:Resul Akay [aut, cre]

ngboostForecast_0.1.1.tar.gz
ngboostForecast_0.1.1.zip(r-4.5)ngboostForecast_0.1.1.zip(r-4.4)ngboostForecast_0.1.1.zip(r-4.3)
ngboostForecast_0.1.1.tgz(r-4.4-any)ngboostForecast_0.1.1.tgz(r-4.3-any)
ngboostForecast_0.1.1.tar.gz(r-4.5-noble)ngboostForecast_0.1.1.tar.gz(r-4.4-noble)
ngboostForecast_0.1.1.tgz(r-4.4-emscripten)ngboostForecast_0.1.1.tgz(r-4.3-emscripten)
ngboostForecast.pdf |ngboostForecast.html
ngboostForecast/json (API)
NEWS

# Install 'ngboostForecast' in R:
install.packages('ngboostForecast', repos = c('https://akai01.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/akai01/ngboostforecast/issues

Datasets:
  • seatbelts - Road Casualties in Great Britain 1969-84

On CRAN:

forecastingmachine-learningngboostngboost-forecastprobabilistic-forecastspythonsklearntime-series

10 exports 6 stars 1.18 score 53 dependencies 11 scripts 248 downloads

Last updated 2 years agofrom:08c92edd3c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:%<>%%>%autolayerautoplotDistis_exists_condaNGBforecastNGBforecastCVScoressklearner

Dependencies:clicolorspacecurldplyrfansifarverforecastfracdiffgenericsggplot2gluegtablehereisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigpngquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadilloRcppTOMLreticulaterlangrprojrootscalestibbletidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo