Package: gratis 1.0.8

Feng Li
gratis: Generating Time Series with Diverse and Controllable Characteristics
Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.
Authors:
gratis_1.0.8.tar.gz
gratis_1.0.8.zip(r-4.7)gratis_1.0.8.zip(r-4.6)gratis_1.0.8.zip(r-4.5)
gratis_1.0.8.tgz(r-4.6-any)gratis_1.0.8.tgz(r-4.5-any)
gratis_1.0.8.tar.gz(r-4.7-any)gratis_1.0.8.tar.gz(r-4.6-any)
gratis_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gratis/json (API)
NEWS
| # Install 'gratis' in R: |
| install.packages('gratis', repos = c('https://ykang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ykang/gratis/issues
data-generationmixture-autoregressivestatistical-computingtime-series
Last updated from:efaef84e1d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 272 | ||
| linux-release-x86_64 | OK | 205 | ||
| macos-release-arm64 | OK | 199 | ||
| macos-oldrel-arm64 | OK | 214 | ||
| windows-devel | OK | 128 | ||
| windows-release | OK | 131 | ||
| windows-oldrel | OK | 148 | ||
| wasm-release | OK | 146 |
Exports:app_gratisarima_modelets_modelgenerategenerate_mstsgenerate_targetgenerate_tsgenerate_ts_with_targetmar_modelpi_coefficientsrmixnormrmixnorm_tssimulate_target
Dependencies:anytimeBHclicodetoolscolorspacecpp11crayondigestdoRNGdplyrfarverforeachforecastfracdiffGAgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclelmtestlubridatemagrittrmvtnormnlmennetpillarpkgconfigpolynompurrrR6RColorBrewerRcppRcppArmadillorlangrngtoolsS7scalestibbletidyselecttimechangetimeDatetsibbleurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Launch the gratis Shiny application | app_gratis |
| Specify an ARIMA model | arima_model |
| Specify an ETS model | ets_model |
| Generate a random multiple-seasonal MAR time series | generate_msts |
| Generate random MAR time series | generate_ts |
| Generate time series with target features | generate_ts_with_target |
| Generate a tsibble of synthetic time series | generate.Arima generate.ets generate.mar |
| Specify a mixture autoregressive model | mar_model |
| Compute AR recursion coefficients from SARIMA coefficients | pi_coefficients |
| Generate random values from a mixture of multivariate normal distributions | rmixnorm |
| Simulate a mixture-normal autoregressive process | rmixnorm_ts |
| Generate time series with target features | generate_target simulate_target |
| Simulate from a mixture autoregressive model | simulate.mar |