R Under development (unstable) (2026-02-16 r89426 ucrt) -- "Unsuffered Consequences"
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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(bridgr)
> 
> test_check("bridgr")
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2000-07-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 2 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2000-10-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-04-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-10-01 | Forecast horizon: 1 quarter(s)
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-10-01 | Forecast horizon: 1 quarter(s)
Bridge model summary
-----------------------------------
Main model:
-----------------------------------
Series:  target 
Regression with ARIMA(0,0,0) errors 

Coefficients:
      intercept    indic  indic_lag1
        -0.7620  -0.6064      0.3341
s.e.     0.2182   0.4622      0.4564

sigma^2 = 0.6709:  log likelihood = -11.66
AIC=31.32   AICc=37.99   BIC=32.91
-----------------------------------
Single indicator models:
-----------------------------------
Series:  indic 
ARIMA(0,0,0) with zero mean 

sigma^2 = 0.647:  log likelihood = -45.65
AIC=93.29   AICc=93.4   BIC=94.93
Aggregation to low frequency:
Using mean over values in corresponding periods.
-----------------------------------
Dependent variable: target | Frequency: quarter | Estimation sample: 2000-01-01 - 2002-10-01 | Forecast horizon: 1 quarter(s)
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 14 ]
> 
> proc.time()
   user  system elapsed 
  14.12    0.54   14.67