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 -0.0007893479
#> 2 1.4088852230
#> 3 0.0926190001
#> 4 -0.2960018913
#> 5 1.4939355959
#> 6 -1.5671596756
#> 7 -1.3407756389
#> 8 -0.6654542686
#> 9 0.2993448627
#> 10 0.4194802311
simulate(f(rnorm(10), model="rw1", noise = noise_normal()))
#> sim_1
#> 1 0.4714115
#> 2 -0.3190186
#> 3 -0.5366487
#> 4 -0.8180584
#> 5 0.2503583
#> 6 -0.7676528
#> 7 0.4307546
#> 8 -0.4148925
#> 9 0.8491241
#> 10 -0.5509394
simulate(f(1:10, model="ar1", rho = 0.4, noise = noise_t(nu = 5)))
#> sim_1
#> 1 0.3523618
#> 2 -2.8039145
#> 3 -1.4542427
#> 4 0.5412187
#> 5 -0.3277392
#> 6 -4.7578799
#> 7 0.1840242
#> 8 0.7188167
#> 9 -0.9526914
#> 10 0.4990349