layer_glm: Layer estimated using a generalized linear model
In jonascrevecoeur/hirem: Hierarchical reserving models

Adds a new layer to the hierarchical reserving model. This layer will be estimated using the glm framework.

1	layer_glm(obj, name, family, filter = NULL, transformation = NULL)

`obj`	The hierarchical reserving model
`name`	Character, name of the layer. This name should match the variable name in the data set
`family`	family argument passed to the `glm` function
`filter`	Function with input: Data set with same structure as the data passed to `hirem` output: TRUE/FALSE vector with same length as the number of rows in the input data set. FALSE indicates that this layer is zero for the current record.
`transformation`	Object of class `hirem_transformation` specifying the transformation applied before modelling this layer.