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pacotest
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Download and install pacotest package within the R console
Install from CRAN:
install.packages("pacotest")
Install from Github:
library("remotes")
install_github("cran/pacotest") Install by package version:
library("remotes")
install_version("pacotest", "0.4.3") Attach the package and use:
library("pacotest")
Maintained by
Malte S. Kurz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-15
Latest Update: 2022-11-04
Description:
Routines for two different test types, the Constant Conditional Correlation (CCC) test and the Vectorial Independence (VI) test are provided (Kurz and Spanhel (2022) ). The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The CCC test comes with a decision tree approach to allow testing in high-dimensional settings.
How to cite:
Malte S. Kurz (2017). pacotest: Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas. R package version 0.4.3, https://cran.r-project.org/web/packages/pacotest. Accessed 09 Oct. 2026.
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Complete documentation for pacotest
Functions, R codes and Examples using
the pacotest R package
Some associated functions: pacotest-package . pacotest . pacotestRvineSeq . pacotestRvineSingleCopula . pacotestset .
Some associated R codes: RcppExports.R . pacotest.R . pacotestRVine.R . pacotestset.R . stepwiseSeRVine.R . utilitiesAggInfoInCondSet.R . utilitiesDecisionTreeExtraction.R . utilitiesPlotFunctions.R . utilitiesRVineDataFrame.R . utilitiesRVineEqualCorrG.R . utilitiesRVineEqualCorrHelpingFunctions.R . utilitiesRVineEqualCorrOmega.R . utilitiesRVineEqualCorrSubTreeExtraction.R . utilitiesRVineEqualCorrWithEstimationUncertainty.R . Full pacotest package functions and examples
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