fitdistrBayes_routes: List the Built-In Objective Bayesian Fitting Routes

In fitdistrBayes: Objective Bayesian Distribution Fitting

List the Built-In Objective Bayesian Fitting Routes

Description

Returns the machine-readable catalogue used to document and test the available model–prior combinations. The condition column is a concise summary; the fitting function remains the authoritative executable check for the observed sample.

Usage

fitdistrBayes_routes(model = NULL)

Arguments

model

Optional recognized distribution name. If supplied, only the routes for that distribution are returned.

Value

A data frame with one row for every enabled model–prior combination and the following character columns:

model

Canonical distribution name.

prior

Accepted objective-prior label.

parameters

Comma-separated parameters estimated by the route.

required_fixed

Parameters that the user must supply in fixed, or an empty string when none are required.

engine

Posterior simulation or numerical-integration strategy used by the route.

posterior_condition

Concise sample condition under which the posterior is proper. The fitting function performs the authoritative check on the supplied observations.

Examples

fitdistrBayes_routes()
fitdistrBayes_routes("gamma")
fitdistrBayes_routes("t")
fitdistrBayes_routes("weighted lindley")

fitdistrBayes documentation built on Aug. 30, 2026, 1:07 a.m.