Package: tsmethods 1.0.2
tsmethods: Time Series Methods
Generic methods for use in a time series probabilistic framework, allowing for a common calling convention across packages. Additional methods for time series prediction ensembles and probabilistic plotting of predictions is included. A more detailed description is available at <https://www.nopredict.com/packages/tsmethods> which shows the currently implemented methods in the 'tsmodels' framework.
Authors:
tsmethods_1.0.2.tar.gz
tsmethods_1.0.2.zip(r-4.5)tsmethods_1.0.2.zip(r-4.4)tsmethods_1.0.2.zip(r-4.3)
tsmethods_1.0.2.tgz(r-4.4-any)tsmethods_1.0.2.tgz(r-4.3-any)
tsmethods_1.0.2.tar.gz(r-4.5-noble)tsmethods_1.0.2.tar.gz(r-4.4-noble)
tsmethods_1.0.2.tgz(r-4.4-emscripten)tsmethods_1.0.2.tgz(r-4.3-emscripten)
tsmethods.pdf |tsmethods.html✨
tsmethods/json (API)
NEWS
# Install 'tsmethods' in R: |
install.packages('tsmethods', repos = c('https://tsmodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tsmodels/tsmethods/issues
Last updated 9 days agofrom:366cfcd753. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:distribution_listensemble_modelspecestimateestimate_adhalflifepittsaggregatetsbacktesttsbenchmarktscalibratetscokurttsconverttsconvolvetscortscoskewtscovtsdecomposetsdiagnosetsensembletsequationtsfiltertsgrowthtsmetricstsmomentstsprofiletsreporttsspecunconditional
Dependencies:data.tablelatticextszoo