Other packages > Find by keyword >

bootStepAIC  

Bootstrap stepAIC
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bootStepAIC", "1.3-0")



Attach the package and use:
library("bootStepAIC")
Maintained by
Dimitris Rizopoulos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-05-07
Latest Update: 2022-03-08
Description:
Model selection by bootstrapping the stepAIC() procedure.
How to cite:
Dimitris Rizopoulos (2007). bootStepAIC: Bootstrap stepAIC. R package version 1.3-0, https://cran.r-project.org/web/packages/bootStepAIC. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 1.0-0 (2007-05-07 12:16), 1.0-1 (2007-07-23 11:26), 1.1-0 (2008-09-15 10:26), 1.1-1 (2008-12-15 15:13), 1.2-0 (2009-06-04 18:11), 1.3-0 (2022-03-08 14:40)
Other packages that cited bootStepAIC R package
View bootStepAIC citation profile
Other R packages that bootStepAIC depends, imports, suggests or enhances
Complete documentation for bootStepAIC
Functions, R codes and Examples using the bootStepAIC R package
Some associated functions: boot.stepAIC . 
Some associated R codes: boot.stepAIC.R . print.BootStep.R .  Full bootStepAIC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA