Generating Time Series with Diverse and Controllable Characteristics


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Documentation for package ‘gratis’ version 0.2.0

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app_gratis Web Application to generate time series with controllable features.
arinf Compute pi coefficients from ARIMA model
fitness_ts Fitness function for time series generation.
ga_ts A revised version of genetic algorithms (R package 'GA') to allow for time series generation.
generate_msts Generate mutiple seasonal time series from random parameter spaces of the mixture autoregressive (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.
nsdiffs1 Set the number of seasonal differences for yearly data to be -1.
pi_coefficients Compute pi coefficients of an AR process from SARIMA coefficients.
rlnorm2 Log-normal distribution with alternative parametrization.
rmixnorm Generate random variables from mixture normal distribution.
rmixnorm_ts Simulate AR type random variables from mixture of normal
run_gratis_app Web Application to generate time series with controllable features.
tsgeneration Time Series Generation