posterior_summary: Returns posterior summary
In egecili54/BPReg: Bayesian penalized regressions for non-stationary Gaussian linear mixed effects model.
posterior_summary R Documentation
Returns posterior summary
Description
Summarizes posterior samples based on point estimates (mean or median), estimation errors (SD or MAD) and quantiles If FALSE (the default) the mean is used as the measure of central tendency and the standard deviation as the measure of variability. If TRUE, the median and the median absolute deviation (MAD) are applied instead.
Usage
posterior_summary(M)
Arguments
M
Final MCMC output after burnin.
Value
Returns posterior summary.
Examples
posterior_summary(M, probs = c(0.025, 0.975),robust =FALSE)
egecili54/BPReg documentation built on Jan. 4, 2025, 5:01 p.m.
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| posterior_summary | R Documentation |
Returns posterior summary
Description
Summarizes posterior samples based on point estimates (mean or median), estimation errors (SD or MAD) and quantiles If FALSE (the default) the mean is used as the measure of central tendency and the standard deviation as the measure of variability. If TRUE, the median and the median absolute deviation (MAD) are applied instead.
Usage
posterior_summary(M)
Arguments
M |
Final MCMC output after burnin. |
Value
Returns posterior summary.
Examples
posterior_summary(M, probs = c(0.025, 0.975),robust =FALSE)
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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