R Under development (unstable) (2026-03-11 r89605 ucrt) -- "Unsuffered Consequences"
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> # This file is part of the fqardl package
> library(testthat)
> library(fqardl)
> 
> test_check("fqardl")
=================================================================
   Fourier ADF Unit Root Test
   Enders & Lee (2012) Economics Letters
=================================================================

Model: Constant
Sample size: 200
Maximum lag tested: 14
Maximum frequency: 3
Lag selection: AIC

-----------------------------------------------------------------
Optimal frequency (k): 1
Optimal lag (p): 0
ADF statistic: -14.8886
P-value: 0.0010
-----------------------------------------------------------------

Critical values:
   1%  : -4.3700 *
   5%  : -3.7800 *
   10% : -3.4700 *
-----------------------------------------------------------------
F-test for linearity (H0: no Fourier terms needed):
   F-statistic: 107.5806
   P-value: 0.0000
   -> Reject linearity: Fourier terms ARE significant
-----------------------------------------------------------------
Conclusion: Reject null hypothesis of unit root
            at 5% significance level
=================================================================
=================================================================
   Fourier ADF Unit Root Test
   Enders & Lee (2012) Economics Letters
=================================================================

Model: Constant
Sample size: 200
Maximum lag tested: 14
Maximum frequency: 3
Lag selection: AIC

-----------------------------------------------------------------
Optimal frequency (k): 1
Optimal lag (p): 0
ADF statistic: -3.2537
P-value: 0.1216
-----------------------------------------------------------------

Critical values:
   1%  : -4.3700 
   5%  : -3.7800 
   10% : -3.4700 
-----------------------------------------------------------------
F-test for linearity (H0: no Fourier terms needed):
   F-statistic: 5.3345
   P-value: 0.0056
   -> Cannot reject linearity: Consider standard ADF
-----------------------------------------------------------------
Conclusion: Cannot reject null hypothesis of unit root
            at 5% significance level
=================================================================
=================================================================
   Fourier KPSS Stationarity Test
   Becker, Enders & Lee (2006)
=================================================================

Model: Level
Sample size: 200
Optimal frequency: k = 1

-----------------------------------------------------------------
KPSS statistic: 0.071969
P-value: 0.1299
-----------------------------------------------------------------

Critical values:
   1%  : 0.2699 
   5%  : 0.1720 
   10% : 0.1318 
-----------------------------------------------------------------
Conclusion: Cannot reject null hypothesis of stationarity
            -> Series is STATIONARY
=================================================================

###############################################################
   Unit Root Analysis: Test
###############################################################

>>> Fourier ADF Test <<<

=================================================================
   Fourier ADF Unit Root Test
   Enders & Lee (2012) Economics Letters
=================================================================

Model: Constant
Sample size: 150
Maximum lag tested: 13
Maximum frequency: 2
Lag selection: AIC

-----------------------------------------------------------------
Optimal frequency (k): 2
Optimal lag (p): 0
ADF statistic: -11.4666
P-value: 0.0010
-----------------------------------------------------------------

Critical values:
   1%  : -4.2000 *
   5%  : -3.6200 *
   10% : -3.3200 *
-----------------------------------------------------------------
F-test for linearity (H0: no Fourier terms needed):
   F-statistic: 0.2543
   P-value: 0.7758
   -> Cannot reject linearity: Consider standard ADF
-----------------------------------------------------------------
Conclusion: Reject null hypothesis of unit root
            at 5% significance level
=================================================================

>>> Fourier KPSS Test <<<

=================================================================
   Fourier KPSS Stationarity Test
   Becker, Enders & Lee (2006)
=================================================================

Model: Level
Sample size: 150
Optimal frequency: k = 2

-----------------------------------------------------------------
KPSS statistic: 0.032790
P-value: 0.1353
-----------------------------------------------------------------

Critical values:
   1%  : 0.2022 
   5%  : 0.1321 
   10% : 0.1034 
-----------------------------------------------------------------
Conclusion: Cannot reject null hypothesis of stationarity
            -> Series is STATIONARY
=================================================================

===============================================================
   JOINT CONCLUSION
===============================================================

STATIONARY (I(0)) - Both tests agree

Note: Fourier terms ARE significant -> Structural breaks present
===============================================================
[ FAIL 0 | WARN 0 | SKIP 6 | PASS 57 ]

══ Skipped tests (6) ═══════════════════════════════════════════════════════════
• On CRAN (6): 'test-fnardl.R:31:3', 'test-fnardl.R:74:3', 'test-fqardl.R:4:3',
  'test-fqardl.R:49:3', 'test-mtnardl.R:28:3', 'test-mtnardl.R:70:3'

[ FAIL 0 | WARN 0 | SKIP 6 | PASS 57 ]
> 
> proc.time()
   user  system elapsed 
   2.76    0.62    3.45