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BinaryEMVS  

Variable Selection for Binary Data Using the EM Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BinaryEMVS", "0.1")



Attach the package and use:
library("BinaryEMVS")
Maintained by
John Snyder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-13
Latest Update: 2016-01-13
Description:
Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.
How to cite:
John Snyder (2016). BinaryEMVS: Variable Selection for Binary Data Using the EM Algorithm. R package version 0.1, https://cran.r-project.org/web/packages/BinaryEMVS. Accessed 22 Dec. 2024.
Previous versions and publish date:
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View BinaryEMVS citation profile
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Complete documentation for BinaryEMVS
Functions, R codes and Examples using the BinaryEMVS R package
Some associated functions: BinomialEMVS . data.sim . 
Some associated R codes: BinomialEMVS.R . EMVS.logit.R . EMVS.probit.R . SCDA.R . SCDA.logistic.R . data.sim.R .  Full BinaryEMVS package functions and examples
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