getJagsData-comma-StandardAnnualLossDevModelInput-dash-method: A method to collect all the needed model input specific to...
In BALD: Robust Loss Development Using MCMC
Description
Arguments
Details
Value
Description
A method to collect all the needed model input specific to the standard model. Intended for internal use only.
Arguments
object
An object of type StandardAnnualAggLossDevModelInput from which to collect the needed model input.
Details
There are currently two types of AnnualAggLossDevModels (break and standard). These models have many data elements in common.
This method appends only the elements specific to the standard model onto the list created by a call to NextMethod().
The following elements are appended:
x.0A single value. The lower bound for the location of knots.
x.rA single value. The upper bound for the location of knots.
beta.priorA vector giving the prior for the location of knots.
mu.number.of.knots.priorThe priors for the mean of the number of knots.
number.of.knots.uboundThe upper bound for the number of knots.
Value
A named list of the specific model elements. See details for more info.
BALD documentation built on May 2, 2019, 6:51 a.m.
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Description Arguments Details Value
Description
A method to collect all the needed model input specific to the standard model. Intended for internal use only.
Arguments
object |
An object of type |
Details
There are currently two types of AnnualAggLossDevModels (break and standard). These models have many data elements in common.
This method appends only the elements specific to the standard model onto the list created by a call to NextMethod().
The following elements are appended:
x.0A single value. The lower bound for the location of knots.
x.rA single value. The upper bound for the location of knots.
beta.priorA vector giving the prior for the location of knots.
mu.number.of.knots.priorThe priors for the mean of the number of knots.
number.of.knots.uboundThe upper bound for the number of knots.
Value
A named list of the specific model elements. See details for more info.
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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