rdirichlet: Dirichlet distributed random numbers
In atyre2/raretrans: Bayesian Priors for Matrix Population Models
Description
Usage
Arguments
Value
Source
Description
Generate n random vectors distributed according to a Dirichlet distribution.
Each row of the returned matrix is a random vector that sums to 1.
Usage
1
rdirichlet(n, alpha)
Arguments
n
The number of random vectors to generate
alpha
A vector of parameters
Value
The function returns a matrix with n rows and length(alpha) columns
Source
copied from package MCMCpack to avoid a dependency. That code
was taken from Greg's Miscellaneous Functions (gregmisc). His code was based
on code posted by Ben Bolker to R-News on 15 Dec 2000.
atyre2/raretrans documentation built on Sept. 28, 2020, 8:55 p.m.
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Description Usage Arguments Value Source
Description
Generate n random vectors distributed according to a Dirichlet distribution. Each row of the returned matrix is a random vector that sums to 1.
Usage
1 | rdirichlet(n, alpha)
|
Arguments
n |
The number of random vectors to generate |
alpha |
A vector of parameters |
Value
The function returns a matrix with n rows and length(alpha) columns
Source
copied from package MCMCpack to avoid a dependency. That code
was taken from Greg's Miscellaneous Functions (gregmisc). His code was based
on code posted by Ben Bolker to R-News on 15 Dec 2000.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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