bayesR2: Compute a Bayesian measure of percentage of explained...
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
bayesR2 R Documentation
Compute a Bayesian measure of percentage of explained variance
Description
Compute a Bayesian measure of percentage of explained variance
Usage
bayesR2(x, summary = TRUE)
Arguments
x
object of class mcdraws as created by MCMCsim.
summary
if TRUE only a posterior summary is returned, otherwise
a simulation (dc) object.
Value
Posterior summary or full simulation draws of a Bayesian version of
R-squared modelfit measure.
References
A. Gelman, B. Goodrich, J. Gabry and A. Vehtari (2019).
R-squared for Bayesian Regression Models.
The American Statistician 73(3), 307-309.
mcmcsae documentation built on July 21, 2026, 1:06 a.m.
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| bayesR2 | R Documentation |
Compute a Bayesian measure of percentage of explained variance
Description
Compute a Bayesian measure of percentage of explained variance
Usage
bayesR2(x, summary = TRUE)
Arguments
x |
object of class mcdraws as created by |
summary |
if |
Value
Posterior summary or full simulation draws of a Bayesian version of R-squared modelfit measure.
References
A. Gelman, B. Goodrich, J. Gabry and A. Vehtari (2019). R-squared for Bayesian Regression Models. The American Statistician 73(3), 307-309.
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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