Generate Synthetic Data from Statistical Models

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Documentation for package ‘synthesis’ version 1.2.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

data.gen.affine	Generate an affine error model.
data.gen.ar1	Generate predictor and response data from AR1 model.
data.gen.ar4	Generate predictor and response data from AR4 model.
data.gen.ar9	Generate predictor and response data from AR9 model.
data.gen.blobs	Gaussian Blobs
data.gen.bm	Generate a time series of Brownian motion.
data.gen.BUWO	Generate build-up and wash-off model for water quality modeling
data.gen.circles	Circles
data.gen.Duffing	Duffing map
data.gen.fbm	Generate a time series of fractional Brownian motion.
data.gen.fm1	Friedman with independent uniform variates
data.gen.fm2	Friedman with correlated uniform variates
data.gen.gbm	Generate a time series of geometric Brownian motion.
data.gen.Henon	Henon map
data.gen.HL	Generate predictor and response data: Hysteresis Loop
data.gen.LGSS	Linear Gaussian state-space model
data.gen.Logistic	Logistic map
data.gen.Lorenz	Lorenz system
data.gen.nl1	Nonlinear system with independent/correlate covariates
data.gen.nl2	Nonlinear system with Exogenous covariates
data.gen.norm	Generate correlated normal variates
data.gen.Rossler	Rössler system
data.gen.rw	Generate Random walk time series.
data.gen.spirals	Spirals
data.gen.SW	Generate predictor and response data: Sinusoidal model
data.gen.tar	Generate a two-regime threshold autoregressive (TAR) process.
data.gen.tar1	Generate predictor and response data from TAR1 model.
data.gen.tar2	Generate predictor and response data from TAR2 model.
data.gen.unif	Generate correlated uniform variates