fitcensBayes_models: Catalogue of Registered Censored Model-Prior Routes

In fitdistrBayes: Objective Bayesian Distribution Fitting

Catalogue of Registered Censored Model-Prior Routes

Description

Lists distributions and complete-data objective priors supported by the separate right-censoring interface, including sufficient propriety conditions and sampling options.

Usage

fitcensBayes_models()

Details

Prior formulas, parameterizations, and aliases are inherited from fitdistrBayes and fitdistrBayes_routes. The catalogue is not an assertion that objective priors are invariant to the censoring design. Conditions are sufficient and conservative. Exponential MDI additionally permits zero exact events when the total observed time is positive and finite; the resulting Gamma posterior has shape two. The function documentation describes this analytic case.

Value

A data frame with 56 rows (one per registered model-prior route) for 20 distributions. Its character columns are:

model

Canonical distribution name.

prior

Registered prior name accepted by the fitting function.

parameters

Names of parameters that are estimated.

required_fixed

Required fixed parameters, if any.

complete_data_engine

Sampler registered for complete data; not a claim that the same algorithm is used under censoring.

exact_subset_sufficient_condition

Sufficient condition applied to the exact events alone. Failure means not certified, not necessarily improper. See the analytic Exponential exception below.

censored_methods

Available observed-likelihood and data-augmentation methods.

censoring

Right-censoring status convention.

prior_origin

The complete-data sampling model.

See Also

fitcensBayes, fitdistrBayes_routes

Examples

routes <- fitcensBayes_models()
routes[routes$model == "gamma", c("model", "prior", "parameters")]
length(unique(routes$model))
nrow(routes)

fitdistrBayes documentation built on Sept. 21, 2026, 5:08 p.m.