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> library(testthat)
> library(mvgam)
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 17 | PASS 91 ]

══ Skipped tests (17) ══════════════════════════════════════════════════════════
• On CRAN (17): 'test-RW.R:3:1', 'test-backends.R:3:1', 'test-binomial.R:4:1',
  'test-dynamic.R:3:1', 'test-example_processing.R:4:1',
  'test-families.R:492:3', 'test-gp.R:3:1', 'test-marginaleffects.R:3:1',
  'test-monotonic.R:4:1', 'test-mvgam-methods.R:43:1', 'test-mvgam.R:141:1',
  'test-mvgam_priors.R:15:1', 'test-nmixture.R:4:1', 'test-offset.R:3:1',
  'test-piecewise.R:83:3', 'test-piecewise.R:105:3', 'test-update.R:3:1'

[ FAIL 0 | WARN 0 | SKIP 17 | PASS 91 ]
> 
> proc.time()
   user  system elapsed 
  39.59    0.75   40.42