djeffreys: Jeffreys' Variance Reference Prior
In jrnold/bayz: Miscellaneous Bayesian functions
Description
Usage
Arguments
Details
Description
The Jeffreys' improper prior for variance is
p(x) \propto 1 / x. This is not a proper probability distribution.
However, "density" and random sampling functions are provided.
Usage
1
2
3
Arguments
x
A numeric vector of quantiles
n
The number of samples to draw
Details
The Jeffreys' improper prior can be approximated by a Gamma distribution
as the shape and rate go to zero.
jrnold/bayz documentation built on May 5, 2019, 5:52 p.m.
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Description Usage Arguments Details
Description
The Jeffreys' improper prior for variance is p(x) \propto 1 / x. This is not a proper probability distribution. However, "density" and random sampling functions are provided.
Usage
1 2 3 |
Arguments
x |
A numeric vector of quantiles |
n |
The number of samples to draw |
Details
The Jeffreys' improper prior can be approximated by a Gamma distribution as the shape and rate go to zero.
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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