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BinaryEMVS
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]
[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
Previous versions and publish date:
No previous versions
Other packages that cited BinaryEMVS R package
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Other R packages that BinaryEMVS depends,
imports, suggests or enhances
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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