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HiDimDA  

High Dimensional Discriminant Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HiDimDA", "0.2-7")



Attach the package and use:
library("HiDimDA")
Maintained by
Antonio Pedro Duarte Silva
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-04-26
Latest Update: 2015-10-19
Description:
Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.
How to cite:
Antonio Pedro Duarte Silva (2011). HiDimDA: High Dimensional Discriminant Analysis. R package version 0.2-7, https://cran.r-project.org/web/packages/HiDimDA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-0 (2011-04-26 17:29), 0.1-1 (2011-06-15 19:50), 0.2-0 (2012-06-29 08:31), 0.2-1 (2012-07-08 08:22), 0.2-2 (2014-10-25 07:51), 0.2-3 (2015-03-27 23:52), 0.2-4 (2015-10-19 08:41), 0.2-6 (2024-02-26 00:20)
Other packages that cited HiDimDA R package
View HiDimDA citation profile
Other R packages that HiDimDA depends, imports, suggests or enhances
Complete documentation for HiDimDA
Functions, R codes and Examples using the HiDimDA R package
Some associated functions: AlonDS . CovE . DACrossVal . DMat . Dlda . FrobSigAp . HiDimDA-internal . HiDimDA-package . MatMult . Mlda . MldaInvE . RFlda . SelectV . ShrnkMat . ShrnkMatInv . ShrnkSigE . SigFq . SigFqInv . Slda . canldaRes . clldaRes . solve . 
Some associated R codes: CInterface.R . DACrossVal.R . DMat.R . Dlda.R . FrobSigAp.R . FrobSigAp1.R . Mlda.R . RFlda.R . RepLOptim.R . SelectV.R . ShrnkMat.R . ShrnkMatInv.R . SigFq.R . SigFqInv.R . Slda.R . ldaGeneral.R . mylocfdr.R . mylocmle.R . rghtsngv.R . solveRFq.R . solveShrnkMat.R .  Full HiDimDA package functions and examples
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