R version 4.4.0 RC (2024-04-16 r86444 ucrt) -- "Puppy Cup"
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> library(testthat)
> library(mvgam)
Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.9-1. For overview type 'help("mgcv-package")'.
Loading required package: Rcpp
Loading required package: brms
Loading 'brms' package (version 2.21.0). Useful instructions
can be found by typing help('brms'). A more detailed introduction
to the package is available through vignette('brms_overview').

Attaching package: 'brms'

The following objects are masked from 'package:mgcv':

    s, t2

The following object is masked from 'package:stats':

    ar

Loading required package: marginaleffects
Loading required package: insight
Welcome to mvgam. Please cite as: Clark, NJ, and Wells, K. 2022. Dynamic Generalized Additive Models (DGAMs) for forecasting discrete ecological time series. Methods in Ecology and Evolution, 2022, https://doi.org/10.1111/2041-210X.13974
> 
> test_check("mvgam")
[ FAIL 0 | WARN 0 | SKIP 4 | PASS 370 ]

══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test-example_processing.R:202:3',
  'test-example_processing.R:241:3', 'test-example_processing.R:343:3',
  'test-mvgam-methods.R:178:3'

[ FAIL 0 | WARN 0 | SKIP 4 | PASS 370 ]
> 
> proc.time()
   user  system elapsed 
  60.51    1.67   62.17