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sda
View on CRAN: Click
here
Download and install sda package within the R console
Install from CRAN:
install.packages("sda")
Install from Github:
library("remotes")
install_github("cran/sda")
Install by package version:
library("remotes")
install_version("sda", "1.3.8")
Attach the package and use:
library("sda")
Maintained by
Korbinian Strimmer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-10-26
Latest Update: 2021-11-21
Description:
Provides an efficient framework for
high-dimensional linear and diagonal discriminant analysis with
variable selection. The classifier is trained using James-Stein-type
shrinkage estimators and predictor variables are ranked using
correlation-adjusted t-scores (CAT scores). Variable selection error
is controlled using false non-discovery rates or higher criticism.
How to cite:
Korbinian Strimmer (2008). sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection. R package version 1.3.8, https://cran.r-project.org/web/packages/sda. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2008-10-26 20:15), 1.0.1 (2008-11-22 18:03), 1.0.2 (2008-12-04 10:28), 1.0.3 (2008-12-08 17:30), 1.1.0 (2009-03-12 21:07), 1.2.0 (2011-06-28 12:30), 1.2.1 (2012-01-22 09:10), 1.2.2 (2012-08-20 06:37), 1.2.3 (2012-11-24 19:01), 1.2.4 (2013-04-03 17:54), 1.3.0 (2013-04-28 19:04), 1.3.1 (2013-09-01 06:51), 1.3.2 (2014-01-10 11:20), 1.3.3 (2014-04-18 16:19), 1.3.4 (2014-07-28 17:46), 1.3.5 (2014-11-18 13:27), 1.3.6 (2015-03-21 14:42), 1.3.7 (2015-07-08 16:28)
Other packages that cited sda R package
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Other R packages that sda depends,
imports, suggests or enhances
Complete documentation for sda
Functions, R codes and Examples using
the sda R package
Some associated functions: catscore . centroids . khan2001 . predict.sda . sda-internal . sda . sda.package . sda.ranking . singh2002 .
Some associated R codes: catscore.R . centroids.R . predict.sda.R . sda.R . sda.ranking.R . Full sda package functions and examples
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