R Under development (unstable) (2024-10-13 r87228 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

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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/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(deFit)
> 
> test_check("deFit")
Program will fit the data with a univariate second-order differential equation.
The differential equation is:
x(2) = beta1 * x + beta2 * x(1)
Optimizing...
Finishing optimization...
Estimating R_squared
Estimating RMSE
Estimating Hessian
Program will fit the data with a bivariate first-order differential equation.
The differential equations are:
dx/dt = beta1 * x + beta2 * y
dy/dt = beta3 * x + beta4 * y
Optimizing...
Finishing optimization...
Estimating R_squared
Estimating RMSE
Estimating Hessian
Program will fit the data with a bivariate first-order differential equation.
The differential equations are:
dx/dt = beta1 * x + beta2 * y
dy/dt = beta3 * x + beta4 * y
Optimizing...
Finishing optimization...
Estimating R_squared
Estimating RMSE
Estimating Hessian
Program will fit the data with multilevel univariate second-order differential equation.
The multilevel differential equations are:
X(2) = (beta1 + etaI1) * X + (beta2 + etaI2) * X(1)
Optimizing...
Estimating random effects  2015 
Estimating random effects  2016 
Estimating random effects  2017 
Estimating random effects  2018 
Estimating R_squared
Estimating RMSE
Estimating Hessian
Program will fit the data with multilevel univariate second-order differential equation.
The multilevel differential equations are:
X(2) = (beta1 + etaI1) * X + (beta2 + etaI2) * X(1)
Optimizing...
Estimating random effects  2015 
Estimating random effects  2016 
Estimating random effects  2017 
Estimating random effects  2018 
Estimating R_squared
Estimating RMSE
Estimating Hessian
Program will fit the data with multilevel univariate second-order differential equation.
The multilevel differential equations are:
X(2) = (beta1 + etaI1) * X + (beta2 + etaI2) * X(1)
Optimizing...
Estimating random effects  2015 
Estimating random effects  2016 
Estimating random effects  2017 
Estimating random effects  2018 
Estimating R_squared
Estimating RMSE
Estimating Hessian
PlottingProgram will fit the data with multilevel univariate second-order differential equation.
The multilevel differential equations are:
X(2) = (beta1 + etaI1) * X + (beta2 + etaI2) * X(1)
Optimizing...
Estimating random effects  2015 
Estimating random effects  2016 
Estimating random effects  2017 
Estimating random effects  2018 
Estimating R_squared
Estimating RMSE
Estimating Hessian
Plotting[ FAIL 0 | WARN 0 | SKIP 0 | PASS 7 ]
> 
> proc.time()
   user  system elapsed 
 123.57    4.04  128.14