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> if (requireNamespace("testthat", quietly = TRUE)) {
+   library(testthat)
+   library(arimasel)
+   test_check("arimasel")
+ }

====================================================
  arimasel v0.2.0  --  Cartesian Product (S)ARIMA
  Author : Olushina Olawale Awe (PStat, CStat)
  GitHub : github.com/Olawaleawe/arimasel
====================================================

Cartesian Product  P x D x Q
  P = {0, 1}
  D = {0, 1}
  Q = {0, 1}
  Total candidate model(s): 8

Candidate ARIMA models:
ARIMA(0,0,0)  ARIMA(0,0,1)  ARIMA(1,0,0)  ARIMA(1,0,1)  ARIMA(0,1,0)  ARIMA(0,1,1)  ARIMA(1,1,0)  ARIMA(1,1,1) 
Cartesian Product  P x D x Q
  P = {0, 1, 2}
  D = {0, 1}
  Q = {0, 1, 2}
  Total candidate model(s): 18

Candidate ARIMA models:
ARIMA(0,0,0)  ARIMA(0,0,1)  ARIMA(0,0,2)  ARIMA(1,0,0)  ARIMA(1,0,1)  ARIMA(1,0,2)  ARIMA(2,0,0)  ARIMA(2,0,1)  ARIMA(2,0,2)  ARIMA(0,1,0)  ARIMA(0,1,1)  ARIMA(0,1,2)  ARIMA(1,1,0)  ARIMA(1,1,1)  ARIMA(1,1,2)  ARIMA(2,1,0)  ARIMA(2,1,1)  ARIMA(2,1,2) 
Cartesian Product  P x D x Q
  P = {0, 1}
  D = {1}
  Q = {0, 1}
  Total candidate model(s): 4

Candidate ARIMA models:
ARIMA(0,1,0)  ARIMA(0,1,1)  ARIMA(1,1,0)  ARIMA(1,1,1) 

Stationarity Test Battery  (alpha = 0.05)
n = 80 observations

                  Test Statistic p_value     Conclusion
   ADF (H0: unit root)   -2.7626  0.1238 Non-stationary
    PP (H0: unit root)  -35.4815  0.0100     Stationary
 KPSS (H0: stationary)    0.1867  0.1000     Stationary

Consensus : Stationary  |  Suggested d : 0


Stationarity Test Battery  (alpha = 0.05)
n = 80 observations

                  Test Statistic p_value     Conclusion
   ADF (H0: unit root)   -2.2470  0.1547 Non-stationary
    PP (H0: unit root)  -10.7484  0.4833 Non-stationary
 KPSS (H0: stationary)    1.6521  0.0100 Non-stationary

Consensus : Non-stationary  |  Suggested d : 1


Stationarity Test Battery  (alpha = 0.05)
n = 80 observations

                  Test Statistic p_value     Conclusion
   ADF (H0: unit root)   -2.7626  0.1238 Non-stationary
    PP (H0: unit root)  -35.4815  0.0100     Stationary
 KPSS (H0: stationary)    0.1867  0.1000     Stationary

Consensus : Stationary  |  Suggested d : 0

Fitting cart_arima...
Fitting auto.arima...

--- Model Comparison ---
     Method        Model AIC AICc BIC HQIC
 cart_arima ARIMA(1,0,1) 235  235 244  238
 auto.arima ARIMA(2,0,0) 232  232 239  235

Winner (most metric wins): auto.arima

Fitting cart_arima...
Fitting auto.arima...

--- Model Comparison ---
     Method        Model AIC AICc BIC HQIC
 cart_arima ARIMA(1,0,1) 235  235 244  238
 auto.arima ARIMA(2,0,0) 232  232 239  235

Winner (most metric wins): auto.arima


Stationarity Test Battery  (alpha = 0.05)
n = 80 observations

                  Test Statistic p_value     Conclusion
   ADF (H0: unit root)   -2.7626  0.1238 Non-stationary
    PP (H0: unit root)  -35.4815  0.0100     Stationary
 KPSS (H0: stationary)    0.1867  0.1000     Stationary

Consensus : Stationary  |  Suggested d : 0


Exploratory Data Analysis
==========================
n = 80  |  frequency = 1 (non-seasonal)
mean = -0.0072  |  sd = 1.2267  |  skewness = 0.1535  |  kurtosis = -0.0608
spectral entropy = 0.7894  |  ACF(1) = 0.5466
ADF statistic = -2.7626  (p ~ 0.1238)
Suggested d = 1


Stationarity Test Battery  (alpha = 0.05)
n = 80 observations

                  Test Statistic p_value     Conclusion
   ADF (H0: unit root)   -2.7626  0.1238 Non-stationary
    PP (H0: unit root)  -35.4815  0.0100     Stationary
 KPSS (H0: stationary)    0.1867  0.1000     Stationary

Consensus : Stationary  |  Suggested d : 0


Exploratory Data Analysis
==========================
n = 80  |  frequency = 1 (non-seasonal)
mean = -0.0072  |  sd = 1.2267  |  skewness = 0.1535  |  kurtosis = -0.0608
spectral entropy = 0.7894  |  ACF(1) = 0.5466
ADF statistic = -2.7626  (p ~ 0.1238)
Suggested d = 1


Stationarity Test Battery  (alpha = 0.05)
n = 72 observations

                  Test Statistic p_value Conclusion
   ADF (H0: unit root)   -7.0220  0.0100 Stationary
    PP (H0: unit root)  -24.9181  0.0164 Stationary
 KPSS (H0: stationary)    0.0650  0.1000 Stationary

Consensus : Stationary  |  Suggested d : 0


Exploratory Data Analysis
==========================
n = 72  |  frequency = 12
mean = 0.1192  |  sd = 7.3500  |  skewness = -0.0605  |  kurtosis = -1.4930
trend strength = 0.4142  |  seasonal strength = 0.9859
spectral entropy = 0.1722  |  ACF(1) = 0.8578
ADF statistic = -7.0220  (p ~ 0.0100)
Suggested d = 0  |  Suggested D = 1

smart_arima: feature-guided search space
  seasonal strength = NA | trend strength = NA | entropy = 0.789
  d_set = {1,2}
smart_arima: feature-guided search space
  seasonal strength = 0.986 | trend strength = 0.414 | entropy = 0.172
  d_set = {0,1}  |  seasonal D = {1}, period = 12
smart_arima: feature-guided search space
  seasonal strength = NA | trend strength = NA | entropy = 0.789
  d_set = {1,2}
[ FAIL 0 | WARN 12 | SKIP 0 | PASS 101 ]

[ FAIL 0 | WARN 12 | SKIP 0 | PASS 101 ]
> 
> proc.time()
   user  system elapsed 
  12.03    0.78   12.76