Simulate latent process with noise
# S3 method for class 'ngme_model'
simulate(object, nsim = 1, seed = NULL, ...)a realization of latent model
simulate(f(1:10, model="ar1", rho = 0.4, noise = noise_nig()))
#> sim_1
#> 1 -2.18106532
#> 2 -1.14932264
#> 3 -1.15544219
#> 4 -3.33198099
#> 5 -0.41240166
#> 6 -0.20776328
#> 7 -1.19701968
#> 8 -0.06547148
#> 9 0.04992179
#> 10 0.32653810
simulate(f(rnorm(10), model="rw1", noise = noise_normal()))
#> sim_1
#> 1 -0.77307262
#> 2 -0.61421409
#> 3 0.03444728
#> 4 -0.16064566
#> 5 0.98101525
#> 6 0.26805456
#> 7 -0.25869488
#> 8 0.45033257
#> 9 1.17405292
#> 10 0.01935516
simulate(f(1:10, model="ar1", rho = 0.4, noise = noise_t(nu = 5)))
#> sim_1
#> 1 1.0212130
#> 2 1.2572607
#> 3 -0.5468392
#> 4 -0.8531438
#> 5 -0.3475473
#> 6 -0.2276801
#> 7 0.4528387
#> 8 -1.0391527
#> 9 1.7434563
#> 10 0.9315446