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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(reviser)
> 
> test_check("reviser")

=== Jacobs-Van Norden Model ===

Convergence: Success 
Log-likelihood: -23 
AIC: 54 
BIC: 59.61 

Parameter Estimates:
  Parameter Estimate Std.Error
      rho_1    0.582     0.147
    sigma_e    0.552    23.378
 sigma_nu_1    0.223     0.029
 sigma_nu_2    0.160   237.075


=== Jacobs-Van Norden Model ===

Convergence: Success 
Log-likelihood: -23 
AIC: 54 
BIC: 59.61 

Parameter Estimates:
  Parameter Estimate Std.Error
      rho_1    0.582     0.147
    sigma_e    0.552    23.378
 sigma_nu_1    0.223     0.029
 sigma_nu_2    0.160   237.075


=== Kishor-Koenig Model ===

Convergence: Success 

Parameter Estimates:
 Parameter Estimate Std.Error
        F0    0.779     0.163
      G0_0    0.678     0.147
      G0_1    0.204     0.082
        v0    0.518     0.173
      eps0    0.132     0.044


=== Kishor-Koenig Model ===

Convergence: Success 

Parameter Estimates:
 Parameter Estimate Std.Error
        F0    0.779     0.163
      G0_0    0.678     0.147
      G0_1    0.204     0.082
        v0    0.518     0.173
      eps0    0.132     0.044

Efficient release:  0 

Model summary: 

Call:
stats::lm(formula = formula, data = df_wide)

Residuals:
     Min       1Q   Median       3Q      Max 
-1.08124 -0.36932  0.02828  0.26182  0.89113 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -0.18083    0.19976  -0.905    0.373    
release_0    0.98017    0.03562  27.517   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.4822 on 28 degrees of freedom
  (20 observations deleted due to missingness)
Multiple R-squared:  0.9643,	Adjusted R-squared:  0.9631 
F-statistic: 757.2 on 1 and 28 DF,  p-value: < 2.2e-16


Test summary: 

Linear hypothesis test:
(Intercept) = 0
release_0 = 1

Model 1: restricted model
Model 2: final ~ release_0

Note: Coefficient covariance matrix supplied.

  Res.Df Df      F Pr(>F)
1     30                 
2     28  2 0.7558  0.479
No efficient release found! 
# Vintages data (publication date format):
# Time periods:                            12
# Vintages:                                3
   time       `2020-02-01` `2020-03-01` `2020-04-01`
   <date>            <dbl>        <dbl>        <dbl>
 1 2020-01-01        105.          98.2         85.7
 2 2020-02-01         77.4         95.1         94.9
 3 2020-03-01         99.8        109.          97.3
 4 2020-04-01        102.          92.3         98.0
 5 2020-05-01         96.4        104.         109. 
 6 2020-06-01         95.2         93.9         98.3
 7 2020-07-01         93.3        102.          96.2
 8 2020-08-01         98.3         92.2         88.7
 9 2020-09-01         89.9         93.0        106. 
10 2020-10-01        107.         107.         106. 
11 2020-11-01         96.0         91.4         92.6
12 2020-12-01         90.0        104.          89.4

=== Vintages Data Summary (Publication Date Format) ===

Time periods: 12 
Time range: 2020-01-01 to 2020-12-01 

Number of vintages: 3 
Publication dates:
  Earliest: 2020-02-01 
  Latest: 2020-04-01 

Missing values: 0 of 36 (0%) 
[ FAIL 0 | WARN 0 | SKIP 14 | PASS 483 ]

══ Skipped tests (14) ══════════════════════════════════════════════════════════
• Set REVISER_FULL_TESTS=true to run extended optimizer coverage. (14):
  'test-jvn.R:338:3', 'test-jvn.R:362:3', 'test-jvn.R:382:3',
  'test-jvn.R:402:3', 'test-jvn.R:443:3', 'test-jvn.R:477:3',
  'test-jvn.R:679:3', 'test-kk.R:336:3', 'test-kk.R:356:3', 'test-kk.R:378:3',
  'test-kk.R:396:3', 'test-kk.R:414:3', 'test-kk.R:444:3', 'test-kk.R:481:3'

[ FAIL 0 | WARN 0 | SKIP 14 | PASS 483 ]
> 
> proc.time()
   user  system elapsed 
  75.98    4.26   80.62