MRPModel-method-log_lik: Create inputs for leave-one-out cross-validation
In shinymrp: Interface for Multilevel Regression and Poststratification
MRPModel-method-log_lik R Documentation
Create inputs for leave-one-out cross-validation
Description
The $log_lik() method of an MRPModel object
runs Stan's standalone generated quantities
and extracts log-likelihood values for leave-one-out cross-validation. This
method is called by the $compare_models() method of an MRPWorkflow object
and does not need to be called directly by users.
Usage
log_lik()
Value
A data.frame object containing log-likelihood values.
shinymrp documentation built on Dec. 4, 2025, 5:07 p.m.
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| MRPModel-method-log_lik | R Documentation |
Create inputs for leave-one-out cross-validation
Description
The $log_lik() method of an MRPModel object
runs Stan's standalone generated quantities
and extracts log-likelihood values for leave-one-out cross-validation. This
method is called by the $compare_models() method of an MRPWorkflow object
and does not need to be called directly by users.
Usage
log_lik()
Value
A data.frame object containing log-likelihood values.
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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