loo.jsdmStanFit: Efficient approximate leave-one-out cross-validation using...
In fseaton/jsdmstan: Fitting jSDMs in Stan
loo.jsdmStanFit R Documentation
Efficient approximate leave-one-out cross-validation using the loo package
Description
This function uses the loo package to compute PSIS-LOO CV, efficient
approximate leave-one-out (LOO) cross-validation for Bayesian models using Pareto
smoothed importance sampling (PSIS). This requires that the model was fit using
log_lik = TRUE.
Usage
## S3 method for class 'jsdmStanFit'
loo(x, ...)
Arguments
x
The jsdmStanFit model object
...
Other arguments passed to the loo function
Value
A list with class c("psis_loo","loo"), as detailed in the
loo documentation
fseaton/jsdmstan documentation built on Sept. 29, 2024, 6:40 p.m.
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| loo.jsdmStanFit | R Documentation |
Efficient approximate leave-one-out cross-validation using the loo package
Description
This function uses the loo package to compute PSIS-LOO CV, efficient
approximate leave-one-out (LOO) cross-validation for Bayesian models using Pareto
smoothed importance sampling (PSIS). This requires that the model was fit using
log_lik = TRUE.
Usage
## S3 method for class 'jsdmStanFit'
loo(x, ...)
Arguments
x |
The jsdmStanFit model object |
... |
Other arguments passed to the |
Value
A list with class c("psis_loo","loo"), as detailed in the
loo documentation
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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