R Under development (unstable) (2024-03-22 r86169 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(VisitorCounts) > > test_check("VisitorCounts") The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor The additive constant for the model is assumed to be equal to zero. If a better constant is known, change the value in the constant argument. Instead, the actual series may be supplied in the ref_series argument. WARNING : the model's constant (Beta_0) parameter is 0. This will result in likely inaccurate predictions. The model constant is understood as the mean log adjusted monthly visitation relative to the base month. Please provide a ref_series to the visitation_model object or provide your own custom value for the constant to visitation_model constructor [ FAIL 0 | WARN 0 | SKIP 0 | PASS 61 ] > > > proc.time() user system elapsed 3.68 0.34 4.03