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 -0.72836890
#> 2 0.67785993
#> 3 -0.88797015
#> 4 2.24597978
#> 5 1.12217236
#> 6 0.65076966
#> 7 -0.37170331
#> 8 -1.93139513
#> 9 -1.06593699
#> 10 0.05792121
simulate(f(rnorm(10), model="rw1", noise = noise_normal()))
#> sim_1
#> 1 1.23887482
#> 2 0.99869225
#> 3 -0.56779498
#> 4 0.07891821
#> 5 0.98131556
#> 6 0.64345677
#> 7 0.53305227
#> 8 -1.07518245
#> 9 -0.91960046
#> 10 1.05473673
simulate(f(1:10, model="ar1", rho = 0.4, noise = noise_t(nu = 5)))
#> sim_1
#> 1 -0.1584953
#> 2 -1.0562796
#> 3 -1.1074460
#> 4 -2.2560924
#> 5 -1.9908697
#> 6 -0.3887364
#> 7 1.6027981
#> 8 0.3058013
#> 9 0.3555525
#> 10 0.5546711