print aniMotum fit object summary information
# S3 method for class 'ssm'
print(x, ...)## see summary fit output
## generate a ssm fit object (call is for speed only)
xs <- fit_ssm(ellie, spdf=FALSE, model = "rw", time.step=24,
control = ssm_control(se = FALSE, verbose = 0))
#>
xs$ssm[[1]]
#> Process model: rw
#> Time interval: 24 hours
#> number of original observations: 64
#> number of observations fitted by ssm: 64
#> number of fitted states: 64
#> number of predicted states: 113
#>
#> parameter estimates
#> -------------------
#> Estimate Std. Error
#> rho_p -0.86827 0.03320
#> sigma_x 4.50053 0.42428
#> sigma_y 3.97017 0.37505
#> rho_o 0.00000 0.00000
#> -------------------
#> negative log-likelihood: 732.3869
#> convergence: yes
#>