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randcorr
View on CRAN: Click
here
Download and install randcorr package within the R console
Install from CRAN:
install.packages("randcorr")
Install from Github:
library("remotes")
install_github("cran/randcorr")
Install by package version:
library("remotes")
install_version("randcorr", "1.0")
Attach the package and use:
library("randcorr")
Maintained by
Daniel F. Schmidt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.randcorr . randcorr citation info . randcorr results . randcorr.pdf . randcorr_1.0.tar.gz . randcorr_1.0.zip . randcorr_1.0.zip . randcorr_1.0.zip . randcorr_1.0.tgz . randcorr_1.0.tgz . randcorr_1.0.tgz . randcorr_1.0.tgz . randcorr_1.0.tgz . randcorr_1.0.tgz . https://CRAN.R-project.org/package=randcorr .
First Published: 2018-11-16
Latest Update: 2018-11-16
Description:
Implements the algorithm by Pourahmadi and Wang (2015) for generating a random p x p correlation matrix. Briefly, the idea is to represent the correlation matrix using Cholesky factorization and p(p-1)/2 hyperspherical coordinates (i.e., angles), sample the angles from a particular distribution and then convert to the standard correlation matrix form. The angles are sampled from a distribution with pdf proportional to sin^k(theta) (0 < theta < pi, k >= 1) using the efficient sampling algorithm described in Enes Makalic and Daniel F. Schmidt (2018) .
How to cite:
Daniel F. Schmidt (2018). randcorr: Generate a Random p x p Correlation Matrix. R package version 1.0, https://cran.r-project.org/web/packages/randcorr. Accessed 10 Apr. 2025.
Previous versions and publish date:
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Complete documentation for randcorr
Functions, R codes and Examples using
the randcorr R package
Some associated functions: randcorr-package . randcorr . randcorr.sample.sink .
Some associated R codes: randcorr-package.R . randcorr.R . Full randcorr package functions and examples
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