MRPModel-method-fit: Fit multilevel regression model using cmdstanr
In shinymrp: Interface for Multilevel Regression and Poststratification
MRPModel-method-fit R Documentation
Fit multilevel regression model using cmdstanr
Description
The $fit() method of an MRPModel object fits the model using
Stan's main Markov chain Monte Carlo (MCMC) algorithm. Check out the
More examples of R6 classes
vignette for usage examples.
Usage
fit(n_iter = 2000, n_chains = 4, seed = NULL, ...)
Arguments
n_iter
Number of MCMC iterations per chain (including warmup iterations). Default is 2000.
n_chains
Number of MCMC chains to run. Default is 4.
seed
Random seed for reproducibility. Default is NULL.
...
Additional arguments passed to CmdStanR $sample() method.
Value
No return value, called for side effects.
shinymrp documentation built on Dec. 4, 2025, 5:07 p.m.
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| MRPModel-method-fit | R Documentation |
Fit multilevel regression model using cmdstanr
Description
The $fit() method of an MRPModel object fits the model using
Stan's main Markov chain Monte Carlo (MCMC) algorithm. Check out the
More examples of R6 classes
vignette for usage examples.
Usage
fit(n_iter = 2000, n_chains = 4, seed = NULL, ...)
Arguments
n_iter |
Number of MCMC iterations per chain (including warmup iterations). Default is 2000. |
n_chains |
Number of MCMC chains to run. Default is 4. |
seed |
Random seed for reproducibility. Default is |
... |
Additional arguments passed to CmdStanR |
Value
No return value, called for side effects.
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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