getPMP: Obtain posterior model probabilities
In keesmulder/CircGLMBayes: Bayesian Analysis of a Circular GLM
View source: R/circGLMClassFunctions.R
getPMP R Documentation
Obtain posterior model probabilities
Description
Compute posterior model probabilities from odds x and a prior odds.
Usage
getPMP(x, prior_odds = 1)
Arguments
x
A vector of odds for which to obtain the posterior model
probabilities.
prior_odds
The prior odds.
Value
A matrix with two columns, giving the relative probabilities of the
first hypothesis versus the second hypothesis.
Examples
getPMP(3)
keesmulder/CircGLMBayes documentation built on July 21, 2022, 3:43 a.m.
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View source: R/circGLMClassFunctions.R
| getPMP | R Documentation |
Obtain posterior model probabilities
Description
Compute posterior model probabilities from odds x and a prior odds.
Usage
getPMP(x, prior_odds = 1)
Arguments
x |
A vector of odds for which to obtain the posterior model probabilities. |
prior_odds |
The prior odds. |
Value
A matrix with two columns, giving the relative probabilities of the first hypothesis versus the second hypothesis.
Examples
getPMP(3)
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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