Feasible Solution Algorithm for Finding Best Subsets and Interactions

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Documentation for package ‘rFSA’ version 0.9.6

• DESCRIPTION file.

Help Pages

adj.r.squared	An rFSA Criterion Function.
apress	An rFSA Criterion Function.
bdist	An rFSA Criterion Function.
fitmodels	Model fitting function for FSA solutions
fitted.FSA	Fitted Values for FSA solutions
FSA	FSA: Feasible Solution Algorithm
glmFSA	FSA: Feasible Solution Algorithm
int.p.val	An rFSA Criterion Function.
list.criterion	List all included Criteria function for lmFSA and glmFSA.
lmFSA	FSA: Feasible Solution Algorithm
max_abs_resid	Return maximum absolute residual from a model
nextswap	Variables to include in the >1st step of an mth order interaction model determined from the Feasible Soution Alorithm.
pFSA	pFSA: Pareto Feasible Solution Algorithm
plot.FSA	Diagnostic Plots for FSA solutions
predict.FSA	Prediction function for FSA solutions
print.FSA	Printing function for FSA solutions
QICu.geeglm	Return QICu for geepack::geeglm
r.squared	An rFSA Criterion Function.
rmse	An rFSA Criterion Function.
summary.FSA	Summary function for FSA solutions
swaps	Variables to include in first steip of an mth order interaction model determined from the Feasible Soution Alorithm.
twFSA	twFSA
which.max.na	An rFSA Internal Function.
which.min.na	An rFSA Internal Function.