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Applies (1) the ED-variance overlay when method = "ed", (2) the loss_* -> premium_* column rename, and (3) the analytical CI bounds. Mirrors the .lossfit_augment() helper in R/loss.R.

Usage

.premiumfit_augment(result, x, method, groups, conf_level)

Arguments

result

A CLFit from fit_cl(loss = "premium", ...).

x

The original Triangle.

method

One of "cl" / "ed".

groups

Character vector of group columns.

conf_level

Confidence level for analytical CI bounds.

Value

The augmented CLFit with $full carrying premium_* columns.