get_loo: Tiny wrapper for the PSIS-LOO-CV method from the loo package.
In bpcs: Bayesian Paired Comparison Analysis with Stan
Description
Usage
Arguments
Value
References
Examples
Description
This is used to evaluate the fit of the model using entropy criteria
Usage
1
get_loo(bpc_object)
Arguments
bpc_object
a bpc object
Value
a loo object
References
Vehtari A, Gelman A, Gabry J (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing_, 27, 1413-1432
Examples
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m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
l<-get_loo(m)
print(l)
bpcs documentation built on Dec. 15, 2020, 5:23 p.m.
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Description Usage Arguments Value References Examples
Description
This is used to evaluate the fit of the model using entropy criteria
Usage
1 | get_loo(bpc_object)
|
Arguments
bpc_object |
a bpc object |
Value
a loo object
References
Vehtari A, Gelman A, Gabry J (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing_, 27, 1413-1432
Examples
1 2 3 4 5 6 7 8 | m<-bpc(data = tennis_agresti,
player0 = 'player0',
player1 = 'player1',
result_column = 'y',
model_type = 'bt',
solve_ties = 'none')
l<-get_loo(m)
print(l)
|
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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