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copBasic - MaRDI portal

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copBasic (Q27476)

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General Bivariate Copula Theory and Many Utility Functions
Language Label Description Also known as
English
copBasic
General Bivariate Copula Theory and Many Utility Functions

    Statements

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    2.1.9
    30 August 2022
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    1.4.2
    6 August 2011
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    1.4
    19 February 2011
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    1.5.0
    1 September 2011
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    1.5.1
    6 December 2011
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    1.5.2
    30 July 2012
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    1.5.4
    10 May 2013
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    1.6.0
    26 September 2014
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    1.7.0
    3 January 2015
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    1.7.1
    30 January 2015
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    2.0.1
    31 August 2015
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    2.0.4
    3 June 2016
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    2.0.5
    25 February 2017
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    2.0.6
    20 November 2017
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    2.0.7
    8 March 2018
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    2.1.0
    7 May 2018
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    2.1.1
    3 December 2018
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    2.1.2
    8 January 2019
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    2.1.4
    2 July 2019
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    2.1.5
    23 March 2020
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    2.1.6
    2 September 2021
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    2.1.7
    14 November 2021
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    2.2.0
    19 June 2023
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    2.2.2
    17 October 2023
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    2.2.3
    9 January 2024
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    9 January 2024
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    Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, and Lcomoments for inference, maximum likelihood, and AIC, BIC, and RMSE for goodness-of-fit.
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