rvexp: Generate Random Vectors from an Exponential Sampling Model
In rv: Simulation-Based Random Variable Objects
rvexp R Documentation
Generate Random Vectors from an Exponential Sampling Model
Description
rvexp
Usage
rvexp(n = 1, rate = 1)
Arguments
n
integer: number of variables to generate
rate
prior distribution for the rate parameter (constant or random)
Details
rvexp
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing
Posterior Simulations Using Random Variable Objects. Statistics and
Computing 17:3, 235-244.
See also vignette("rv").
Examples
y <- rvexp(1, rate=rvexp(1)) # What marginal distribution does y have now?
rv documentation built on March 18, 2022, 5:55 p.m.
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| rvexp | R Documentation |
Generate Random Vectors from an Exponential Sampling Model
Description
rvexp
Usage
rvexp(n = 1, rate = 1)
Arguments
n |
integer: number of variables to generate |
rate |
prior distribution for the rate parameter (constant or random) |
Details
rvexp
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.
See also vignette("rv").
Examples
y <- rvexp(1, rate=rvexp(1)) # What marginal distribution does y have now?
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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