AutoStepwiseGLM

cranv0.2.0

Builds Stepwise GLMs via Train and Test Approach. 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 (

License MIT + file LICENSE0 versions1 maintainers2 deps77 weekly dl
https://CRAN.R-project.org/package=AutoStepwiseGLM
39
/ 100
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  • Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependencies (2)
caretformula.tools
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First published · 2018-11-14 11:26:22

Last updated · 2018-11-14T10:20:06+00:00

AutoStepwiseGLM — Health Score 39/100 | DepScope