simulate from the posterior of a ssm fit.

Source: R/sim_post.R

simulates track locations from the joint precision matrix of a ssm model fit. Currently, the joint precision of the SSM movement parameters is not included (ie. a full posterior simulation).

sim_post(x, what = "predicted", reps = 1, sim_only = FALSE)

Arguments

x

a ssm fit object with class ssm_df

what

simulate fitted or predicted locations

reps

number of replicate tracks to simulate from the ssm model fit object

sim_only

logical, do not include ssm estimated locations in output (default is FALSE)

Value

a fG_sim_post object containing the paths simulated from a ssm fit object

Examples

fit <- fit_ssm(ellie, model = "crw", time.step = 24)
#> fitting crw SSM to 1 tracks...
#> 
 pars:   1 1 0 -2.91153      
 pars:   0.38512 0.37191 -0.01692 -3.38813      
 pars:   -1.4595 -1.51236 -0.06769 -4.81792      
 pars:   -2.20058 -2.24383 -0.11527 -4.95732      
 pars:   -0.38346 -0.4056 -0.04615 -3.85456      
 pars:   -1.23664 -1.20844 -0.10327 -3.65984      
 pars:   -2.25711 -2.16871 -0.17159 -3.42693      
 pars:   -3.07868 -3.34599 -0.26131 -1.24778      
 pars:   -4.46619 -1.62751 -0.49092 0.12579      
 pars:   -3.18442 -2.86245 -0.30197 -0.80151      
 pars:   -3.40955 -3.30581 -0.49919 -0.40195      
 pars:   -3.06893 -3.16418 -1.05454 -0.36585      
 pars:   -3.5513 -2.81435 -1.34642 -0.44033      
 pars:   -3.30092 -3.01944 -1.10395 -0.39263      
 pars:   -3.27833 -3.03821 -1.38152 -0.39631      
 pars:   -3.23173 -2.97174 -2.21731 -0.40477      
 pars:   -3.28771 -3.08271 -5.28966 -0.34232      
 pars:   -3.30222 -3.07091 -5.31779 -0.38305      
 pars:   -3.30222 -3.07091 -5.31779 -0.38305      
psim <- sim_post(fit, "p", reps = 10)
plot(psim, type = "lines")