Importance Sampling Inference for Censored Univariate Data

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Documentation for package ‘UniIS’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

is_control	Control settings for importance sampling
is_diagnostics	Importance-sampling diagnostics
is_dist	Define a distribution specification
is_fit	Fit a censored univariate model by importance sampling
is_loglik	Observed-data log likelihood
is_model_comparison	Model comparison for multiple IS fits
is_posterior_expectation	Compute an expectation from an IS fit
is_predictive	Posterior predictive functionals
is_proposal_defensive	Defensive mixture proposal
is_proposal_normal	Multivariate normal proposal for model parameters
is_proposal_t	Student t proposal for model parameters
is_proposal_uniform	Uniform proposal for model parameters
simulate_complete	Simulate complete univariate data
simulate_hybrid	Simulate hybrid-censored data
simulate_interval	Simulate interval-censored data
simulate_left	Simulate left-censored data
simulate_progressive	Simulate progressively Type-II-censored data
simulate_right	Simulate right-censored data