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CF is a non-parametric alternative that\noffers better than the standard Monte Carlo convergence rates.\nSECF has both a parametric and a non-parametric component and\nit offers the advantages of both for an additional\ncomputational cost. Functions for applying ZV-CV and CF to two\nestimators for the normalising constant of the posterior\ndistribution in Bayesian statistics are also supplied in this\npackage. The basic requirements for using the package are a set\nof samples, derivatives and function evaluations.", "BugReports": "https://github.com/LeahPrice/ZVCV/issues", "License": "GPL (>= 2)", "LazyLoad": "yes", "LazyData": "true", "Encoding": "UTF-8", "RoxygenNote": "7.3.1", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-18 10:26:05 UTC", "User": "root" }, "Author": "Leah F. South [aut, cre] (ORCID:\n)", "Maintainer": "Leah F. 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