R version 4.6.0 beta (2026-04-10 r89860 ucrt) -- "Because it was There"
Copyright (C) 2026 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.

> library(testthat)
> library(khaos)
> 
> test_check("khaos")
simple emulation testStarting model with max degree = 2 and max order = 1
	Found 6 possible basis functions.
	Computing initial phi matrix
	Running weighted LASSO... Keeping 6 basis functions
	Computing partial correlation coefficients
		Fitting linear models: 0/6, 
	Ranking models based on KIC
Starting model with max degree = 4 and max order = 2
	Building enriched candidate set using strategy 2
	Found 30 candidate basis functions after enrichment.
	Running weighted LASSO... Keeping 26 basis functions
	Computing partial correlation coefficients
		Fitting linear models: 0/26, 5/26, 10/26, 15/26, 20/26, 25/26, 
	Ranking models based on KIC
Starting model with max degree = 6 and max order = 3
	Building enriched candidate set using strategy 2
	Found 83 candidate basis functions after enrichment.
	Running weighted LASSO... Keeping 74 basis functions
	Computing partial correlation coefficients
		Fitting linear models: 0/74, 15/74, 30/74, 45/74, 60/74, 
	Ranking models based on KIC
Starting model with max degree = 8 and max order = 3
	Building enriched candidate set using strategy 2
	Found 164 candidate basis functions after enrichment.
	Running weighted LASSO... Keeping 126 basis functions
	Computing partial correlation coefficients
		Fitting linear models: 0/126, 25/126, 50/126, 75/126, 100/126, 125/126, 
	Ranking models based on KIC
Starting model with max degree = 10 and max order = 3
	Building enriched candidate set using strategy 2
	Found 285 candidate basis functions after enrichment.
	Running weighted LASSO... Keeping 3 basis functions
	Computing partial correlation coefficients
		Fitting linear models: 0/3, 
	Ranking models based on KIC
simple emulation testMCMC iteration 0 #-- Apr 11 19:41:55 --# nbasis: 0 
MCMC iteration 1000 #-- Apr 11 19:41:57 --# nbasis: 2 
MCMC iteration 2000 #-- Apr 11 19:41:58 --# nbasis: 3 
MCMC iteration 3000 #-- Apr 11 19:41:59 --# nbasis: 3 
MCMC iteration 4000 #-- Apr 11 19:42:01 --# nbasis: 3 
MCMC iteration 5000 #-- Apr 11 19:42:02 --# nbasis: 3 
MCMC iteration 6000 #-- Apr 11 19:42:04 --# nbasis: 3 
MCMC iteration 7000 #-- Apr 11 19:42:05 --# nbasis: 3 
MCMC iteration 8000 #-- Apr 11 19:42:06 --# nbasis: 3 
MCMC iteration 9000 #-- Apr 11 19:42:07 --# nbasis: 3 
MCMC iteration 10000 #-- Apr 11 19:42:09 --# nbasis: 3 
simple ordinal_khaos test
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 4 ]
> 
> proc.time()
   user  system elapsed 
  16.79    1.76   18.56