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sparsediscrim
View on CRAN: Click
here
Download and install sparsediscrim package within the R console
Install from CRAN:
install.packages("sparsediscrim")
Install from Github:
library("remotes")
install_github("cran/sparsediscrim")
Install by package version:
library("remotes")
install_version("sparsediscrim", "0.3.0")
Attach the package and use:
library("sparsediscrim")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sparsediscrim . https://github.com/topepo/sparsediscrim . https://topepo.github.io/sparsediscrim/ . sparsediscrim results . sparsediscrim.pdf . sparsediscrim_0.3.0.tar.gz . sparsediscrim_0.3.0.zip . sparsediscrim_0.3.0.zip . sparsediscrim_0.3.0.zip . sparsediscrim_0.3.0.tgz . sparsediscrim_0.3.0.tgz . sparsediscrim_0.3.0.tgz . sparsediscrim_0.3.0.tgz . sparsediscrim archive . https://CRAN.R-project.org/package=sparsediscrim .
First Published: 2013-05-25
Latest Update: 2021-07-01
Description:
A collection of sparse and regularized discriminant analysis methods intended for small-sample, high-dimensional data sets. The package features the High-Dimensional Regularized Discriminant Analysis classifier from Ramey et al. (2017) <doi:10.48550/arXiv.1602.01182>. Other classifiers include those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012) <doi:10.1093/bioinformatics/btr690>.
How to cite:
Max Kuhn (2013). sparsediscrim: Sparse and Regularized Discriminant Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/sparsediscrim. Accessed 10 May. 2025.
Previous versions and publish date:
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Other R packages that sparsediscrim depends,
imports, suggests or enhances
Complete documentation for sparsediscrim
Functions, R codes and Examples using
the sparsediscrim R package
Some associated functions: center_data . cov_autocorrelation . cov_block_autocorrelation . cov_eigen . cov_intraclass . cov_list . cov_mle . cov_pool . cov_shrink_diag . cv_partition . diag_estimates . dmvnorm_diag . generate_blockdiag . generate_intraclass . h . lda_diag . lda_eigen . lda_emp_bayes . lda_emp_bayes_eigen . lda_pseudo . lda_schafer . lda_shrink_cov . lda_shrink_mean . lda_thomaz . log_determinant . no_intercept . plot.rda_high_dim_cv . posterior_probs . print.lda_diag . print.lda_eigen . print.lda_emp_bayes . print.lda_emp_bayes_eigen . print.lda_pseudo . print.lda_schafer . print.lda_shrink_cov . print.lda_shrink_mean . print.lda_thomaz . print.qda_diag . print.qda_shrink_cov . print.qda_shrink_mean . print.rda_high_dim . qda_diag . qda_shrink_cov . qda_shrink_mean . quadform . quadform_inv . rda_cov . rda_high_dim . rda_high_dim_cv . rda_weights . regdiscrim_estimates . risk_stein . solve_chol . tong_mean_shrinkage . two_class_sim_data . update_rda_high_dim . var_shrinkage .
Some associated R codes: data.R . Full sparsediscrim package functions and examples
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