Assists in statistical model building to find optimal and semioptimal higher order interactions and best subsets. Uses the lm(), glm(), and other R functions to fit models generated from a feasible solution algorithm. Discussed in Subset Selection in Regression, A Miller (2002). Applied and explained for least median of squares in Hawkins (1993) <doi:10.1016/01679473(93)90246P>. The feasible solution algorithm comes up with model forms of a specific type that can have fixed variables, higher order interactions and their lower order terms.
Package details 


Maintainer  
License  GPL2 
Version  0.9.2 
Package repository  View on GitHub 
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