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Resolve a beta_prior = list(mean, sd) to a single ridge SD.

Source: R/fit_laplace.R
dot-beta_prior_ridge_sd.Rd

For the fitters whose fixed-effect prior is a mean-zero Gaussian ridge with a scalar SD (EP, multinomial, ordinal): validates the unified beta_prior object, enforces a mean of 0, and returns the positive scalar SD. Keeps the shared prior interface (beta_prior = list(mean, sd)) while rejecting the options those fitters do not implement (a non-zero mean, a per-coefficient SD). Validation of the supplied object itself is .beta_prior_fields(), shared with .normalize_beta_prior().

Usage

.beta_prior_ridge_sd(beta_prior, default_sd = .tulpa_prior_sd("ridge"))

Arguments

beta_prior

list(mean, sd); mean must be 0, sd a positive scalar. NULL takes the engine default.

default_sd

SD used when beta_prior is NULL. A supplied prior is resolved through .beta_prior_fields() and never falls back to this.