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 -2.3180960
#> 2 -0.5619034
#> 3 -0.4082866
#> 4 0.3902886
#> 5 0.3744008
#> 6 0.3526502
#> 7 -0.1900755
#> 8 0.1233395
#> 9 0.9843278
#> 10 0.4192642
simulate(f(rnorm(10), model="rw1", noise = noise_normal()))
#> sim_1
#> 1 -0.82895122
#> 2 -0.02405078
#> 3 0.12043504
#> 4 -0.62448807
#> 5 -0.21356370
#> 6 0.61669992
#> 7 0.02282306
#> 8 0.66135579
#> 9 -0.80883860
#> 10 -0.08158624
simulate(f(1:10, model="ar1", rho = 0.4, noise = noise_t(nu = 5)))
#> sim_1
#> 1 -5.69674139
#> 2 -1.85271912
#> 3 -1.66837218
#> 4 -0.81582539
#> 5 -1.34286748
#> 6 -0.03639711
#> 7 -1.20169488
#> 8 -3.11208727
#> 9 -0.47409363
#> 10 0.99359897