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subrank (version 0.9.9.3)
Computes Copula using Ranks and Subsampling
Description
Estimation of copula using ranks and subsampling. The main feature of this method is that simulation studies show a low sensitivity to dimension, on realistic cases.
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0.9.9.3
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0.9.9.1
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Install
install.packages('subrank')
Monthly Downloads
169
Version
0.9.9.3
License
GPL (>= 3)
Maintainer
Jerome Collet
Last Published
April 5th, 2023
Functions in subrank (0.9.9.3)
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subrank-package
tools:::Rd_package_title("subrank")
simnul
Test statistic distribution under independence hypothesis
estimdep
Dependence estimation
corc0
Function to estimate copula using ranks and sub-sampling, minimal version.
desscop
Discrete copula graph, a two-dimensional projection
desscoptous
Discrete copula graph, ALL two-dimensional projections
corc
Function to estimate copula using ranks and sub-sampling
predonfly
Probability forecasting
simany
Test statistic distribution under any hypothesis
predictdep
Probability forecasting