normchi2post: Log posterior density for mean and variance for normal...
In LearnBayes: Functions for Learning Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Computes the log of the posterior density of a mean M and a variance S2 when a sample is taken from a normal density and a standard noninformative prior is used.
Usage
1
normchi2post(theta,data)
Arguments
theta
vector of parameter values M and S2
data
vector containing the sample observations
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1
2
3
parameter=c(25,5)
data=c(20, 32, 21, 43, 33, 21, 32)
normchi2post(parameter,data)
Example output
[1] -61.54247
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 of the posterior density of a mean M and a variance S2 when a sample is taken from a normal density and a standard noninformative prior is used.
Usage
1 | normchi2post(theta,data)
|
Arguments
theta |
vector of parameter values M and S2 |
data |
vector containing the sample observations |
Value
value of the log posterior
Author(s)
Jim Albert
Examples
1 2 3 | parameter=c(25,5)
data=c(20, 32, 21, 43, 33, 21, 32)
normchi2post(parameter,data)
|
Example output
[1] -61.54247
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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