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rFSA (version 0.1.0)

Feasible Solution Algorithm for Finding Best Subsets and Interactions

Description

Uses the lm() and glm() functions to fit models generated from a feasible solution algorithm. 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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Version

Install

install.packages('rFSA')

Monthly Downloads

181

Version

0.1.0

License

GPL-2

Maintainer

Joshua Lambert

Last Published

October 18th, 2016

Functions in rFSA (0.1.0)

apress

An rFSA Criterion Function.
adj.r.squared

An rFSA Criterion Function.
glmFSA

rFSA: Feasible Solution Algorithm (FSA) for Generalized Linear Models
lmFSA

rFSA: Feasible Solution Algorithm (FSA) for Linear Models
bdist

An rFSA Criterion Function.
fitmodels

Model fitting function for FSA solutions
plot.FSA

Diagnostic Plots for FSA solutions
print.FSA

Printing function for FSA solutions
r.squared

An rFSA Criterion Function.
predict.FSA

Prediction function for FSA solutions
rmse

An rFSA Criterion Function.
which.max.na

An rFSA Internal Function.
rstart

Random starts with m variables
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.
which.min.na

An rFSA Internal Function.
int.p.val

An rFSA Criterion Function.
nextswap

Variables to include in the >1st step of an mth order interaction model determined from the Feasible Soution Alorithm.
fitted.FSA

Fitted Values for FSA solutions
list.criterion

List all included Criteria function for lmFSA and glmFSA.