Package: fable.binary 0.1.0
fable.binary: Forecasting Binary Time Series
Provides a collection of time series forecasting models suitable for binary time series. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Authors:
fable.binary_0.1.0.tar.gz
fable.binary_0.1.0.zip(r-4.5)fable.binary_0.1.0.zip(r-4.4)fable.binary_0.1.0.zip(r-4.3)
fable.binary_0.1.0.tgz(r-4.4-any)fable.binary_0.1.0.tgz(r-4.3-any)
fable.binary_0.1.0.tar.gz(r-4.5-noble)fable.binary_0.1.0.tar.gz(r-4.4-noble)
fable.binary_0.1.0.tgz(r-4.4-emscripten)fable.binary_0.1.0.tgz(r-4.3-emscripten)
fable.binary.pdf |fable.binary.html✨
fable.binary/json (API)
NEWS
| # Install 'fable.binary' in R: |
| install.packages('fable.binary', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidyverts/fable.binary/issues
- melb_rain - Daily rainfall in Melbourne, Australia
Last updated 12 months agofrom:be338e93a8. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
| R-4.4-win | OK | Nov 22 2024 |
| R-4.4-mac | OK | Nov 22 2024 |
| R-4.3-win | OK | Nov 22 2024 |
| R-4.3-mac | OK | Nov 22 2024 |
Exports:%>%as_tsibbleBINNETLOGISTIC
Dependencies:anytimeBHclicolorspacecpp11digestdistributionaldplyrellipsisfabletoolsfansifarvergenericsggdistggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmennetnumDerivpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Neural Network Binary Time Series Forecasts | BINNET report.BINNET |
| Extract fitted values from a fable model | fitted.BINNET |
| Extract fitted values from a fable model | fitted.LOGISTIC |
| Forecast a model from the fable package | forecast.BINNET |
| Forecast a model from the fable package | forecast.LOGISTIC |
| Generate new data from a fable model | generate.BINNET |
| Generate new data from a fable model | generate.LOGISTIC |
| Glance a BINNET model | glance.BINNET |
| Glance a LOGISTIC | glance.LOGISTIC |
| Fit a linear model with time series components | LOGISTIC report.LOGISTIC |
| Daily rainfall in Melbourne, Australia | melb_rain |
| Refit a BINNET model | refit.BINNET |
| Refit a 'LOGISTIC' | refit.LOGISTIC |
| Extract residuals from a fable model. | residuals.BINNET |
| Extract residuals from a fable model. | residuals.LOGISTIC |
| Tidy a fable model | tidy.BINNET |
| Tidy a fable model | tidy.LOGISTIC |
