loo.disbayes: Leave-one-out cross validation for disbayes models
In disbayes: Bayesian Multi-State Modelling of Chronic Disease Burden Data
loo.disbayes R Documentation
Leave-one-out cross validation for disbayes models
Description
Leave-one-out cross validation for disbayes models
Usage
## S3 method for class 'disbayes'
loo(x, outcome = "overall", ...)
Arguments
x
A model fitted by disbayes. Any of the computation methods
are supported.
outcome
Either "overall", to assess the fit to all data, or
one of "inc", "prev", "mort" or "rem", to assess the fit
to the incidence data, prevalence data, mortalidy data or remission data, respectively.
...
Other arguments (currently unused).
Value
An object of class "loo" as defined by the loo package.
See Also
loo_indiv to return tidied observation-specific contributions
to the overall model fit computed here.
disbayes documentation built on Sept. 10, 2023, 1:08 a.m.
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| loo.disbayes | R Documentation |
Leave-one-out cross validation for disbayes models
Description
Leave-one-out cross validation for disbayes models
Usage
## S3 method for class 'disbayes'
loo(x, outcome = "overall", ...)
Arguments
x |
A model fitted by |
outcome |
Either |
... |
Other arguments (currently unused). |
Value
An object of class "loo" as defined by the loo package.
See Also
loo_indiv to return tidied observation-specific contributions
to the overall model fit computed here.
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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