Feasible Solution Algorithm for Finding Best Subsets and Interactions
An rFSA Criterion Function.
An rFSA Criterion Function.
An rFSA Criterion Function.
Model fitting function for FSA solutions
Fitted Values for FSA solutions
FSA: Feasible Solution Algorithm
An rFSA Criterion Function.
List all included Criteria function for lmFSA and glmFSA.
Return maximum absolute residual from a model
Variables to include in the >1st step of an mth order interaction mode...
pFSA: Pareto Feasible Solution Algorithm
Diagnostic Plots for FSA solutions
Prediction function for FSA solutions
Printing function for FSA solutions
Return QICu for geepack::geeglm
An rFSA Criterion Function.
An rFSA Criterion Function.
Summary function for FSA solutions
Variables to include in first steip of an mth order interaction model ...
twFSA
An rFSA Internal Function.
An rFSA Internal Function.
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) <doi:10.1016/0167-9473(93)90246-P>. 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.