cauchyerrorpost: Log posterior of median and log scale parameters for Cauchy...
In LearnBayes: Functions for Learning Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Computes the log posterior density of (M,log S) when
a sample is taken from a Cauchy density with location M and scale S and a uniform
prior distribution is taken on (M, log S)
Usage
1
cauchyerrorpost(theta,data)
Arguments
theta
vector of parameter values of M and log S
data
vector containing sample of observations
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1
2
3
data=c(108, 51, 7, 43, 52, 54, 53, 49, 21, 48)
theta=c(40,1)
cauchyerrorpost(theta,data)
Example output
[1] -54.70607
LearnBayes documentation built on May 1, 2019, 7:03 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Computes the log posterior density of (M,log S) when a sample is taken from a Cauchy density with location M and scale S and a uniform prior distribution is taken on (M, log S)
Usage
1 | cauchyerrorpost(theta,data)
|
Arguments
theta |
vector of parameter values of M and log S |
data |
vector containing sample of observations |
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1 2 3 | data=c(108, 51, 7, 43, 52, 54, 53, 49, 21, 48)
theta=c(40,1)
cauchyerrorpost(theta,data)
|
Example output
[1] -54.70607
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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