fit.hirem: Fitting layers in a hierarchical reserving model

In jonascrevecoeur/hirem: Hierarchical reserving models

Description

fit one or multiple layers of the hierarchical reserving model

Usage

## S3 method for class 'hirem'
fit(
  obj,
  training = FALSE,
  fold = NULL,
  weights = NULL,
  weight.var = NULL,
  balance.var = NULL,
  ...
)

Arguments

obj	The hierarchical reserving model
training	TRUE: Fit the layers on the training data set FALSE: Fit the layers on the observed data set
fold	Index of the fold on which the model should be estimated When fold == NULL the layer is estimated on all available records
weights	Optional. Vector of weights assigned to each development year.
weight.var	Optional. The name of the variable representing the development year since reporting in the data set.
balance.var	Optional. The name of the variable representing the development year since reporting in the data set, in case you want to perform a development year dependent bias correction step.
...	Add for each layer an argument with the same name as the layer and as value a formula describing the regression model

jonascrevecoeur/hirem documentation built on Dec. 14, 2021, 3 p.m.