LPML: Log Pseudo Marginal Likelihood
In DouglasMesquita/TGMRF: Transformed Gaussian Markov Random Fields
LPML R Documentation
Log Pseudo Marginal Likelihood
Description
Log Pseudo Marginal Likelihood
Usage
LPML(y, lambda)
Arguments
y
Vector of response variable
lambda
Matrix of intensities for each region where y was avaliable in each MCMC iteration
Value
LPML -2 * Log Pseudo Marginal Likelihood measure
DouglasMesquita/TGMRF documentation built on May 28, 2022, 8:34 p.m.
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| LPML | R Documentation |
Log Pseudo Marginal Likelihood
Description
Log Pseudo Marginal Likelihood
Usage
LPML(y, lambda)
Arguments
y |
Vector of response variable |
lambda |
Matrix of intensities for each region where y was avaliable in each MCMC iteration |
Value
LPML -2 * Log Pseudo Marginal Likelihood measure
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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