Package: gratis 1.0.7

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:Yanfei Kang [aut], Feng Li [aut, cre], Rob Hyndman [aut], Mitchell O'Hara-Wild [ctb], Bocong Zhao [ctb]

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gratis.pdf |gratis.html✨
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

On CRAN:

data-generation mixture-autoregressive statistical-computing time-series

13 exports 76 stars 3.81 score 113 dependencies 25 scripts 299 downloads

Last updated 5 months agofrom:ff9a8fe54b. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 05 2024
R-4.5-win	OK	Sep 05 2024
R-4.5-linux	OK	Sep 05 2024
R-4.4-win	OK	Sep 05 2024
R-4.4-mac	OK	Sep 05 2024
R-4.3-win	OK	Sep 05 2024
R-4.3-mac	OK	Sep 05 2024

Exports:app_gratis arima_model ets_model generate generate_msts generate_target generate_ts generate_ts_with_target mar_model pi_coefficients rmixnorm rmixnorm_ts simulate_target

Dependencies:anytime base64enc BH bslib cachem cli codetools colorspace commonmark cpp11 crayon curl cvar digest distributional doRNG dplyr ellipsis fabletools fansi farver fastICA fastmap fBasics feasts fGarch fontawesome foreach forecast fracdiff fs furrr future GA gbutils generics ggdist ggplot2 globals glue gss gtable htmltools httpuv isoband iterators jquerylib jsonlite labeling later lattice lifecycle listenv lmtest lubridate magrittr MASS Matrix memoise mgcv mime munsell mvtnorm nlme nnet numDeriv parallelly pillar pkgconfig polynom progressr promises purrr quadprog quantmod R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppRoll Rdpack rlang rngtools sass scales shiny slider sourcetools spatial stabledist stringi stringr tibble tidyr tidyselect timechange timeDate timeSeries tseries tsfeatures tsibble TTR urca utf8 vctrs viridisLite warp withr xtable xts zoo

Introduction to gratis

Bocong Zhao and Rob J Hyndman

Rendered fromQuickStart.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2024-04-07
Started: 2020-07-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Web Application to generate time series with controllable features.	app_gratis
Specify parameters for an ARIMA model	arima_model
Specify parameters for an ETS model	ets_model
Generate multiple seasonal time series from random parameter spaces of the mixture autoregressive (MAR) models.	generate_msts
Generate time series from random parameter spaces of the mixture autoregressive (MAR) models.	generate_ts
Generating time series with controllable features.	generate_ts_with_target
Generate a tsibble of synthetic data from a Mixture Autoregressive model	generate.Arima generate.ets generate.mar
Specify parameters for a Mixture Autoregressive model	mar_model
Compute pi coefficients of an AR process from SARIMA coefficients.	pi_coefficients
Generate random variables from a mixture of multivariate normal distributions	rmixnorm
Simulate autoregressive random variables from mixture of normal	rmixnorm_ts
Generating time series with controllable features using MAR models	generate_target simulate_target
Generate synthetic data from a Mixture Autoregressive model	simulate.mar