get_posterior_samples: Retrieve random samples of posterior coefficient estimates
In jasongraf1/VADIS: Variation-Based Distance & Similarity Modeling
View source: R/get_posterior_samples.R
get_posterior_samples R Documentation
Retrieve random samples of posterior coefficient estimates
Description
Retrieve random samples of posterior coefficient estimates
Usage
get_posterior_samples(mod_list, n = 200L)
Arguments
mod_list
A list of regression model objects of class brmsfit.
n
Integer indicating number of samples to pull
Details
The function loops through a list of *M* model objects, randomly samples coefficient estimates from the posterior, and compiles those samples in a single dataframe. Output is a list of *M* dataframes each with *n* columns of sampled estimates. Currently only works with brmsfit objects.
Value
a list of dataframes
Author(s)
Jason Grafmiller
Examples
## Not run:
Coming soon...
## End(Not run)
jasongraf1/VADIS documentation built on July 19, 2023, 10:26 p.m.
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View source: R/get_posterior_samples.R
| get_posterior_samples | R Documentation |
Retrieve random samples of posterior coefficient estimates
Description
Retrieve random samples of posterior coefficient estimates
Usage
get_posterior_samples(mod_list, n = 200L)
Arguments
mod_list |
A list of regression model objects of class |
n |
Integer indicating number of samples to pull |
Details
The function loops through a list of *M* model objects, randomly samples coefficient estimates from the posterior, and compiles those samples in a single dataframe. Output is a list of *M* dataframes each with *n* columns of sampled estimates. Currently only works with brmsfit objects.
Value
a list of dataframes
Author(s)
Jason Grafmiller
Examples
## Not run:
Coming soon...
## End(Not run)
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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