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polywog  

Bootstrapped Basis Regression with Oracle Model Selection
View on CRAN: Click here


Download and install polywog package within the R console
Install from CRAN:
install.packages("polywog")

Install from Github:
library("remotes")
install_github("cran/polywog")

Install by package version:
library("remotes")
install_version("polywog", "0.4-1")



Attach the package and use:
library("polywog")
Maintained by
Brenton Kenkel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-05-12
Latest Update: 2018-04-20
Description:
Routines for flexible functional form estimation via basis regression, with model selection via the adaptive LASSO or SCAD to prevent overfitting.
How to cite:
Brenton Kenkel (2012). polywog: Bootstrapped Basis Regression with Oracle Model Selection. R package version 0.4-1, https://cran.r-project.org/web/packages/polywog
Previous versions and publish date:
0.1-0 (2012-05-12 17:38), 0.2-0 (2012-06-26 19:06), 0.3-0 (2013-01-09 19:39), 0.4-0 (2014-04-24 07:43)
Other packages that cited polywog R package
View polywog citation profile
Other R packages that polywog depends, imports, suggests or enhances
Functions, R codes and Examples using the polywog R package
Some associated functions: bootPolywog . cv.polywog . margEff.polywog . model.frame.polywog . model.matrix.polywog . plot.margEff.polywog . plot.polywog . polywog-package . polywog . predVals . predict.polywog . summary.margEff.polywog . summary.polywog . 
Some associated R codes: RcppExports.R .  Full polywog package functions and examples
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