Add a Matched-Class Comparison Prior — il_prior

Adds a Dirichlet regularizing prior for one comparison's matched-class m probabilities. Use exact for the strongest agreement level, or levels for a complete named gamma-level distribution.

Usage

il_prior_m(
  model,
  col,
  exact = NULL,
  levels = NULL,
  strength,
  remainder = c("current")
)

Arguments

model: An il_model object.
col: Comparison column, supplied as a bare name or string.
exact: Probability for the strongest gamma level.
levels: Complete named probability vector, with names such as "0", "1", and "2".
strength: Non-negative effective sample size.
remainder: How to distribute non-exact probability. Currently "current" uses trained/current m probabilities when available and otherwise falls back to uniform.

Value

The model with prior metadata stored in model$params$priors.