Man pages for synthesis
Generate Synthetic Data from Statistical Models
| 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... |
| 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 |
