joshuawlambert/rFSA2: Feasible Solution Algorithm for Finding Best Subsets and Interactions
Version 0.9.2

Assists in statistical model building to find optimal and semi-optimal 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) . 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.

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joshuawlambert/rFSA2 documentation built on Jan. 28, 2018, 3:11 a.m.