R: The Interpretation of Adjusted Cp Statistic

# The Interpretation of Adjusted Cp Statistic

## Documentation for package ‘gilmour’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

crit | This data contains critical values for testing at the significance level 5 Data published in the original article. Crit was taken from the original study (see Table2). Values in Crit were recalculated by Josef Dolejs for more possible steps of freedom
EU2019 | illustrative econometric data from Eurostat for 5 variables in 17 countries in 2019 columns: Country, LifExp , HDP, Unempl, Obesity, APassangers remove the first column: rownames(EU2019)= EU2019[,1]; EU2019=EU2019[,-1] data has real meaning
final_model | The function calculates all models and find final model according Gilmour
Gilmour9p | Ilustrative data published in the original article (House prices) Data with the practical meaning Gilmour9p was taken from the original study (see Table1).
Modified_Gilmour9p | special illustrative data if more than two tests are done in the loop in the function final_model() original Gilmour table was modified data has no real meaning
Parks5p | number of visitors in parks, citation: Stemberk Josef, Josef Dolejs, Petra Maresova, Kamil Kuca. Factors affecting the number of Visitors in National Parks in the Czech Republic, Germany and Austria. International Journal of Geo-Information. ISPRS Int. J. Geo-Inf. 2018, 7(3), 124; doi:10.3390/ijgi7030124 data has real meaning
Patents5p | number of patents in universities, citation: Maresova Petra, Soukal Ivan, Stemberkova Ruzena, Selamat Ali Perspective and Suitable Research Area in Public Research-Patent Analysis of the Czech Public Universities Education and Urban Society, 54(7), Maresova Petra, Soukal Ivan, Stemberkova Ruzena, Selamat Ali data has real meaning
submodels | The function calculates all possible submodels and find model with the minimal value of Cp according Gilmour
T1 | T1 contains simulated data without real meaning the null hypothesis is not rejected in the first test it illustrates the situation if full model is final model data has no real meaning
T2 | T2 illustrates the situation if the loop of tests is finished by the Trivial model data has no practical meaning
Trivial | Trivial illustrates the situation if the Trivial model is model_min without testing process data has no real meaning