loo.cumhist: Computes an efficient approximate leave-one-out...
In bistablehistory: Cumulative History Analysis for Bistable Perception Time Series
loo.cumhist R Documentation
Computes an efficient approximate leave-one-out
cross-validation via loo library. It can be used
for a model comparison via loo::loo_compare() function.
Description
Computes an efficient approximate leave-one-out
cross-validation via loo library. It can be used
for a model comparison via loo::loo_compare() function.
Usage
## S3 method for class 'cumhist'
loo(x, ...)
Arguments
x
A cumhist object
...
unused
Value
A named list, see loo::loo() for details.
Examples
data(br_singleblock)
gamma_fit <- fit_cumhist(br_singleblock, state="State", duration="Duration")
loo_gamma <- loo(gamma_fit)
bistablehistory documentation built on Sept. 13, 2023, 5:07 p.m.
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| loo.cumhist | R Documentation |
Computes an efficient approximate leave-one-out cross-validation via loo library. It can be used for a model comparison via loo::loo_compare() function.
Description
Computes an efficient approximate leave-one-out cross-validation via loo library. It can be used for a model comparison via loo::loo_compare() function.
Usage
## S3 method for class 'cumhist'
loo(x, ...)
Arguments
x |
A cumhist object |
... |
unused |
Value
A named list, see loo::loo() for details.
Examples
data(br_singleblock)
gamma_fit <- fit_cumhist(br_singleblock, state="State", duration="Duration")
loo_gamma <- loo(gamma_fit)
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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