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HCmodelSets  

Regression with a Large Number of Potential Explanatory Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HCmodelSets", "1.1.3")



Attach the package and use:
library("HCmodelSets")
Maintained by
H. Battey
[Scholar Profile | Author Map]
First Published: 2018-07-05
Latest Update: 2023-03-15
Description:
Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.
How to cite:
H. Battey (2018). HCmodelSets: Regression with a Large Number of Potential Explanatory Variables. R package version 1.1.3, https://cran.r-project.org/web/packages/HCmodelSets. Accessed 02 Apr. 2025.
Previous versions and publish date:
0.1.1 (2018-07-05 10:10), 0.2.1 (2018-11-27 18:00), 1.0.0 (2018-12-11 15:20), 1.0.1 (2018-12-14 00:12), 1.0.2 (2018-12-17 15:10), 1.1.1 (2020-04-20 18:10), 1.1.2 (2021-06-01 09:30), 1.1 (2019-12-16 21:20)
Other packages that cited HCmodelSets R package
View HCmodelSets citation profile
Other R packages that HCmodelSets depends, imports, suggests or enhances
Complete documentation for HCmodelSets
Functions, R codes and Examples using the HCmodelSets R package
Full HCmodelSets package functions and examples
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