prior: Specify Prior Distributions

In clmstan: Cumulative Link Models with 'CmdStanR'

Specify Prior Distributions

Description

Specify prior distributions for model parameters using distribution functions.

Usage

prior(prior, class = "b", coef = "")

Arguments

prior	A distribution object created by normal(), gamma(), student_t(), or cauchy().
class	The parameter class. Valid classes are: "b": Regression coefficients (beta) "Intercept": Cutpoints/thresholds (flexible) "c1": First cutpoint (equidistant) "d": Threshold interval (equidistant) "cpos": Positive cutpoints (symmetric) "df": Degrees of freedom (tlink) "lambda_ao": Lambda parameter (aranda_ordaz) "lambda_lg": Lambda parameter (log_gamma) "xi": Xi parameter (gev) "r": R parameter (sp) "theta1", "theta2": Theta parameters (aep)
coef	Optional coefficient name (for future extension).

Value

An object of class "clm_prior_spec" representing the prior specification.

See Also

normal(), gamma(), student_t(), cauchy(), clm_prior()

Examples

# Specify a normal prior for regression coefficients
prior(normal(0, 2.5), class = "b")

# Specify a gamma prior for degrees of freedom
prior(gamma(2, 0.1), class = "df")

# Combine multiple priors
c(
  prior(normal(0, 2.5), class = "b"),
  prior(normal(0, 10), class = "Intercept")
)

clmstan documentation built on June 29, 2026, 5:06 p.m.