R: Feasible Solution Algorithm for Finding Best Subsets and Interactions

# Feasible Solution Algorithm for Finding Best Subsets and Interactions

## Documentation for package ‘rFSA’ version 0.9.6

- DESCRIPTION file
- Package README

## 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.