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copBasic (version 2.1.6)

General Bivariate Copula Theory and Many Utility Functions

Description

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, 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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Version

Install

install.packages('copBasic')

Monthly Downloads

738

Version

2.1.6

License

GPL-2

Maintainer

William Asquith

Last Published

September 2nd, 2021

Functions in copBasic (2.1.6)

EMPIRgrid

Grid of the Bivariate Empirical Copula
CLcop

The Clayton Copula
COPinv

The Inverse of a Copula for V with respect to U
EMPIRgridder2

Derivatives of the Grid of the Bivariate Empirical Copula for U with respect to V
AMHcop

The Ali--Mikhail--Haq Copula
COP

The Copula
EMPIRgridder

Derivatives of the Grid of the Bivariate Empirical Copula for V with respect to U
EMPIRcopdf

Data Frame Representation of the Bivariate Empirical Copula
COPinv2

The Inverse of a Copula for U with respect to V
EMPIRcop

The Bivariate Empirical Copula
EMPIRgridderinv

Derivative Inverses of the Grid of the Bivariate Empirical Copula for V with respect to U
EMPIRmed.regress2

Median Regression of the Grid of the Bivariate Empirical Copula for U with respect to V
EMPIRmed.regress

Median Regression of the Grid of the Bivariate Empirical Copula for V with respect to U
EMPIRgridderinv2

Derivative Inverses of the Grid of the Bivariate Empirical Copula for U with respect to V
EMPIRsimv

Simulate a Bivariate Empirical Copula For a Fixed Value of U
EMPIRsim

Simulate a Bivariate Empirical Copula
HRcop

The H<U+00FC>sler--Reiss Extreme Value Copula
JOcopB5

The Joe/B5 Copula (B5)
PARETOcop

The Pareto Copula
P

The Product (Independence) Copula
M

The Fr<U+00E9>chet--Hoeffding Upper Bound Copula
N4212cop

The Copula of Equation 4.2.12 of Nelsen's Book
PSP

The Ratio of the Product Copula to Summation minus Product Copula
aicCOP

The Akaike Information Criterion between a Fitted Coupla and an Empirical Copula
bicCOP

The Bayesian Information Criterion between a Fitted Coupla and an Empirical Copula
PLACKETTsim

Direct Simulation of a Plackett Copula
asCOP

A Wrapper on a User-Level Formula to Become a Copula Function
FGMcop

The Generalized Farlie--Gumbel--Morgenstern Copula
bilmoms

Bivariate L-moments and L-comoments of a Copula
FRECHETcop

The Fr<U+00E9>chet Family Copula
PLACKETTcop

The Plackett Copula
RFcop

The Raftery Copula
PLACKETTpar

Estimate the Parameter of the Plackett Copula
ReineckeWells

Porosity and Permeability Data for the Reinecke Oil Field, Horseshoe Atoll, Texas
EMPIRqua.regress2

Quantile Regression of the Grid of the Bivariate Empirical Copula for U with respect to V
GLcop

The Galambos Extreme Value Copula (with Gamma Power Mixture [Joe/BB4] and Lower Extreme Value Limit)
GHcop

The Gumbel--Hougaard Extreme Value Copula
EMPIRqua.regress

Quantile Regression of the Grid of the Bivariate Empirical Copula for V with respect to U
ReineckeWell266

Porosity and Permeability Data for Well-266 of the Reinecke Oil Field, Horseshoe Atoll, Texas
W

The Fr<U+00E9>chet--Hoeffding Lower Bound Copula
composite3COP

(Extended) Composition of Two Copulas with Four Compositing Parameters
composite2COP

Composition of Two Copulas with Two Compositing Parameters
copBasic.fitpara

A Single or Multi-Parameter Optimization Engine (Beta Version)
composite1COP

Composition of a Single Symmetric Copula with Two Compositing Parameters
convexCOP

Convex Combination of an Arbitrary Number of Copulas
blomCOP

The Blomqvist Beta of a Copula
convex2COP

Convex Combination of Two Copulas
coCOP

The Co-Copula Function
copBasic-package

Basic Theoretical Copula, Empirical Copula, and Various Utility Functions
diagCOPatf

Numerical Rooting the Diagonal of a Copula
densityCOP

Density of a Copula
duCOP

The Dual of a Copula Function
gEVcop

The Gaussian-based (Extreme Value) Copula
footCOP

The Spearman Footrule of a Copula
derCOP2

Numerical Derivative of a Copula for U with respect to V
derCOPinv

Numerical Derivative Inverse of a Copula for V with respect to U
derCOP

Numerical Derivative of a Copula for V with respect to U
densityCOPplot

Contour Density Plot of a Copula
diagCOP

The Diagonals of a Copula
derCOPinv2

Numerical Derivative Inverse of a Copula for U with respect to V
isCOP.radsym

Is a Copula Radially Symmetric
gridCOP

Compute a Copula on a Grid
isCOP.LTD

Is a Copula Left-Tail Decreasing
isCOP.RTI

Is a Copula Right-Tail Increasing
giniCOP

The Gini Gamma of a Copula
glueCOP

The Gluing Two Copulas
isCOP.permsym

Is a Copula Permutation Symmetric
hoefCOP

The Hoeffding Phi of a Copula or Lp Distances (Independence, Radial Asymmetry, or Reflection Symmetry Forms)
isfuncCOP

Is a General Bivariate Function a Copula by Gridded Search?
isCOP.PQD

The Positively Quadrant Dependency State of a Copula
joint.curvesCOP2

Compute Coordinates of the Marginal Probabilities given joint AND or OR Probability
joint.curvesCOP

Compute Coordinates of the Marginal Probabilities given joint AND or OR Probabilities
joeskewCOP

Joe's Nu-Skew and the copBasic Nu-Star of a Copula
lcomCOPpv

Simulating the Sample Distribution(s) of L-correlation, L-coskew, and L-cokurtosis for a Copula
kfuncCOP

The Kendall (Distribution) Function of a Copula
lcomCOP

L-comoments and Bivariate L-moments of a Copula
jointCOP

Compute Equal Marginal Probabilities Given a Single Joint AND or OR Probability for a Copula
kfuncCOPinv

The Inverse Kendall Function of a Copula
kfuncCOPlmoms

The L-moments of the Kendall Function of a Copula
kullCOP

Kullback--Leibler Divergence, Jeffrey Divergence, and Kullback--Leibler Sample Size
level.curvesCOP2

Compute and Plot Level Curves of a Copula U with respect to V
lcomoms2.ABKGcop2parameter

Convert L-comoments to Parameters of Alpha-Beta-Kappa-Gamma Compositions of Two One-Parameter Copulas
med.regressCOP2

Perform Median Regression using a Copula by Numerical Derivative Method for U with respect to V
level.setCOP

Compute a Level Set of a Copula V with respect to U
prod2COP

The Product of Two Copulas
level.curvesCOP

Compute and Plot Level Curves of a Copula V with respect to U
med.regressCOP

Perform Median Regression using a Copula by Numerical Derivative Method for V with respect to U
lcomoms2.ABcop2parameter

Convert L-comoments to Parameters of Alpha-Beta Compositions of Two One-Parameter Copulas
level.setCOP2

Compute a Level Set of a Copula U with respect to V
semicorCOP

The Lower and Upper Semi-Correlations of a Copula
mleCOP

Maximum Pseudo-Log-Likelihood Estimation for Copula Parameter Estimation
rmseCOP

The Root Mean Square Error between a Fitted Copula and an Empirical Copula
sectionCOP

The Sections or Derivative of the Sections of a Copula
qua.regressCOP

Perform Quantile Regression using a Copula by Numerical Derivative Method for V with respect to U
psepolar

Pseudo-Polar Representation of Bivariate Data
qua.regressCOP.draw

Draw Quantile Regressions using a Copula by Numerical Derivative Method for V with respect to U or U with respect to V
qua.regressCOP2

Perform Quantile Regression using a Copula by Numerical Derivative Method for U with respect to V
simCOP

Simulate a Copula by Numerical Derivative Method
spectralmeas

Estimation of the Spectral Measure
stabtaildepf

Estimation of the Stable Tail Dependence Function
simcompositeCOP

Compute the L-comoments of a Two-Value Composited Copula by Simulation
statTn

The Tn Statistic of a Fitted Copula to an Empirical Copula
rhoCOP

The Spearman Rho of a Copula
surCOP

The Survival Copula
rhobevCOP

A Dependence Measure for a Bivariate Extreme Value Copula based on the Expectation of the Product of Negated Log-Transformed Random Variables U and V
surfuncCOP

The Joint Survival Function
simcomposite3COP

Compute the L-comoments of a Four-Value Composited Copula by Simulation
simCOPmicro

Simulate V from U through a Copula by Numerical Derivative Method
tEVcop

The t-EV (Extreme Value) Copula
tailconCOP

The Tail Concentration Function of a Copula
uvlmoms

Bivariate Skewness after Joe (2014) or the Univariate L-moments of Combined U and V
wolfCOP

The Schweizer and Wolff Sigma of a Copula
vuongCOP

The Vuong Procedure for Parametric Copula Comparison
tauCOP

The Kendall Tau and Concordance Function of a Copula
taildepCOP

The Lower- and Upper-Tail Dependency Parameters of a Copula
tailordCOP

The Lower- and Upper-Tail Orders of a Copula