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gaussDiff  

Difference Measures for Multivariate Gaussian Probability Density Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gaussDiff", "1.1.1")



Attach the package and use:
library("gaussDiff")
Maintained by
Henning Rust
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-07-30
Latest Update: 2025-07-22
Description:
A collection difference measures for multivariate Gaussian probability density functions, such as the Euclidea mean, the Mahalanobis distance, the Kullback-Leibler divergence, the J-Coefficient, the Minkowski L2-distance, the Chi-square divergence and the Hellinger Coefficient.
How to cite:
Henning Rust (2010). gaussDiff: Difference Measures for Multivariate Gaussian Probability Density Functions. R package version 1.1.1, https://cran.r-project.org/web/packages/gaussDiff. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2010-07-30 07:02), 1.1 (2012-08-23 08:19)
Other packages that cited gaussDiff R package
View gaussDiff citation profile
Other R packages that gaussDiff depends, imports, suggests or enhances
Complete documentation for gaussDiff
Functions, R codes and Examples using the gaussDiff R package
Some associated functions: normdiv . 
Some associated R codes: gaussDiff.R .  Full gaussDiff package functions and examples
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