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rFSA
View on CRAN: Click
here
Download and install rFSA package within the R console
Install from CRAN:
install.packages("rFSA")
Install from Github:
library("remotes")
install_github("cran/rFSA")
Install by package version:
library("remotes")
install_version("rFSA", "0.9.6")
Attach the package and use:
library("rFSA")
Maintained by
Joshua Lambert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-18
Latest Update: 2020-06-10
Description:
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.
How to cite:
Joshua Lambert (2016). rFSA: Feasible Solution Algorithm for Finding Best Subsets and Interactions. R package version 0.9.6, https://cran.r-project.org/web/packages/rFSA. Accessed 29 Jan. 2025.
Previous versions and publish date:
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Other R packages that rFSA depends,
imports, suggests or enhances
Complete documentation for rFSA
Functions, R codes and Examples using
the rFSA R package
Some associated functions: FSA . QICu.geeglm . adj.r.squared . apress . bdist . fitmodels . fitted.FSA . int.p.val . list.criterion . max_abs_resid . nextswap . pFSA . plot.FSA . predict.FSA . print.FSA . r.squared . rmse . summary.FSA . swaps . twFSA . which.max.na . which.min.na .
Some associated R codes: FSA.R . criterion.R . fitmodels.R . fitted.FSA.R . pFSA.R . plot.FSA.R . predict.FSA.R . print.FSA.R . summary.FSA.R . support.R . twFSA.R . Full rFSA package functions and examples
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