R: Generating Time Series with Diverse and Controllable Characteristics

# Generating Time Series with Diverse and Controllable Characteristics

## Documentation for package ‘gratis’ version 1.0.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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