AutoStepwiseGLM
Builds Stepwise GLMs via Train and Test Approach
Description
Randomly splits data into testing and training sets. Then, uses stepwise selection to fit numerous multiple regression models on the training data, and tests them on the test data. Returned for each model are plots comparing model Akaike Information Criterion (AIC), Pearson correlation coefficient (r) between the predicted and actual values, Mean Absolute Error (MAE), and R-Squared among the models. Each model is ranked relative to the other models by the model evaluation metrics (i.e., AIC, r, MAE, and R-Squared) and the model with the best mean ranking among the model evaluation metrics is returned. Model evaluation metric weights for AIC, r, MAE, and R-Squared are taken in as arguments as aic_wt, r_wt, mae_wt, and r_squ_wt, respectively. They are equally weighted as default but may be adjusted relative to each other if the user prefers one or more metrics to the others, Field, A. (2013, ISBN:978-1-4462-4918-5).
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Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (14 non-OK)
CRAN incoming feasibility
Maintainer: ‘Aaron England <aaron.england24@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Aaron",
family = "England",
role = c("aut", "cre"),
email = "aaron.england24@gmail.com")
as necessary.
CRAN incoming feasibility
Maintainer: ‘Aaron England <aaron.england24@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Aaron",
family = "England",
role = c("aut", "cre"),
email = "aaron.england24@gmail.com")
as necessary.
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LazyData
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LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
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NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Aaron England <aaron.england24@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Aaron",
family = "England",
role = c("aut", "cre"),
email = "aaron.england24@gmail.com")
as necessary.
CRAN incoming feasibility
Maintainer: ‘Aaron England <aaron.england24@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Aaron",
family = "England",
role = c("aut", "cre"),
email = "aaron.england24@gmail.com")
as necessary.
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory