xqnwang
. See also theR-universe documentation.Package: conformalForecast 0.0.0.9000
conformalForecast: Conformal prediction methods for multistep-ahead time series forecasting
Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID control, and Multistep-ahead conformal prediction.
Authors:
conformalForecast_0.0.0.9000.tar.gz
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conformalForecast.pdf |conformalForecast.html✨
conformalForecast/json (API)
NEWS
# Install 'conformalForecast' in R: |
install.packages('conformalForecast', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xqnwang/conformalforecast/issues
Pkgdown site:https://xqnwang.github.io
Last updated 13 days agofrom:a7d78e259b. Checks:1 OK, 8 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 24 2025 |
R-4.5-win | NOTE | Mar 24 2025 |
R-4.5-mac | NOTE | Mar 24 2025 |
R-4.5-linux | NOTE | Mar 24 2025 |
R-4.4-win | NOTE | Mar 24 2025 |
R-4.4-mac | NOTE | Mar 24 2025 |
R-4.4-linux | NOTE | Mar 24 2025 |
R-4.3-win | NOTE | Mar 24 2025 |
R-4.3-mac | NOTE | Mar 24 2025 |
Exports:acpconformalcoveragecvforecastinterval_measureslagmatrixMAEMAPEMASEmcpMEMPEMSEMSISpidpoint_measuresRMSERMSSEscpwidthwinkler_score
Dependencies:clicolorspacecurldistributionalfansifarverforecastfracdiffgenericsggdistggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetnumDerivpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo