posterior_predict {bayesGAM} | R Documentation |
Posterior predictive samples from models fit by bayesGAM
Description
Draw from the posterior predictive distribution
Usage
posterior_predict(object, ...)
## S4 method for signature 'bayesGAMfit'
posterior_predict(object, draws = NULL, ...)
## S4 method for signature 'glmModel'
posterior_predict(object, draws = NULL, results = NULL, ...)
Arguments
object |
Object of type |
... |
Additional arguments for |
draws |
An integer indicating the number of draws to return. The default and maximum number of draws is the size of the posterior sample. |
results |
Matrix of HMC posterior samples |
Value
a list of D by N matrices, where D is the number of draws from the posterior predictive distribution and N is the number of data points being predicted per draw.
References
Goodrich B, Gabry J, Ali I & Brilleman S. (2020). rstanarm: Bayesian applied regression modeling via Stan. R package version 2.19.3 https://mc-stan.org/rstanarm.
Jonah Gabry, Ben Goodrich and Martin Lysy (2020). rstantools: Tools for Developing R Packages Interfacing with 'Stan'. https://mc-stan.org/rstantools/, https://discourse.mc-stan.org/.
Examples
f <- bayesGAM(weight ~ np(height), data = women,
family = gaussian, iter=1000, chains = 1)
res <- posterior_predict(f, draws=100)