R Under development (unstable) (2025-06-20 r88332 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(bayesSSM)
> 
> test_check("bayesSSM")
Running chain 1...
Running pilot chain for tuning...
Using 78 particles for PMMH:
Running Particle MCMC chain with tuned settings...
Running chain 2...
Running pilot chain for tuning...
Using 50 particles for PMMH:
Running Particle MCMC chain with tuned settings...
PMMH Results Summary:
 Parameter Mean   SD Median 2.5% 97.5% ESS  Rhat
       phi 0.85 0.15   0.84 0.61  1.20  41 1.066
   sigma_x 1.16 0.61   1.20 0.11  2.49  16 1.123
   sigma_y 0.77 0.42   0.62 0.24  1.68  15 1.079
Running chain 1...
Running pilot chain for tuning...
Using 78 particles for PMMH:
Running Particle MCMC chain with tuned settings...
Running chain 2...
Running pilot chain for tuning...
Using 50 particles for PMMH:
Running Particle MCMC chain with tuned settings...
PMMH Results Summary:
 Parameter Mean   SD Median 2.5% 97.5% ESS  Rhat
       phi 0.85 0.15   0.84 0.61  1.20  41 1.066
   sigma_x 1.16 0.61   1.20 0.11  2.49  16 1.123
   sigma_y 0.77 0.42   0.62 0.24  1.68  15 1.079
Running chain 1...
Running pilot chain for tuning...
Using 78 particles for PMMH:
Running Particle MCMC chain with tuned settings...
Running chain 2...
Running pilot chain for tuning...
Using 50 particles for PMMH:
Running Particle MCMC chain with tuned settings...
PMMH Results Summary:
 Parameter Mean   SD Median 2.5% 97.5% ESS  Rhat
       phi 0.85 0.15   0.84 0.61  1.20  41 1.066
   sigma_x 1.16 0.61   1.20 0.11  2.49  16 1.123
   sigma_y 0.77 0.42   0.62 0.24  1.68  15 1.079
Running chain 1...
Running pilot chain for tuning...
Using 50 particles for PMMH:
Running Particle MCMC chain with tuned settings...
Running chain 2...
Running pilot chain for tuning...
Using 50 particles for PMMH:
Running Particle MCMC chain with tuned settings...
PMMH Results Summary:
 Parameter  Mean   SD Median  2.5% 97.5% ESS  Rhat
       phi -0.05 1.04  -0.11 -2.06  2.09  54 1.042
Using 93 particles for PMMH:
Using 179 particles for PMMH:
Pilot chain posterior mean:
      phi 
0.7286188 
            phi
phi 0.008365057
Using 229 particles for PMMH:
Pilot chain posterior mean:
      phi 
0.7794334 
           phi
phi 0.00740782
Using 280 particles for PMMH:
Using 149 particles for PMMH:
Using 137 particles for PMMH:
Using 1000 particles for PMMH:
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 200 ]
> 
> proc.time()
   user  system elapsed 
  43.37    2.32   45.71