R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
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Results 1 - 10 of 24 found.
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dpolicy_loss (Package: CopulaRegression) : Density of the policy loss

Density of the policy loss

● Data Source: CranContrib
● Keywords: distribution
● Alias: dpolicy_loss
● 1 images

pztp (Package: CopulaRegression) : Cumulative distribution function of a zero truncated Poisson variable

Cumulative distribution function of a zero truncated Poisson variable

● Data Source: CranContrib
● Keywords: distribution
● Alias: pztp
● 0 images

simulate_joint (Package: CopulaRegression) : Simulation from the joint model

Simulation from the joint model

● Data Source: CranContrib
● Keywords: datagen
● Alias: simulate_joint
● 0 images

pgam (Package: CopulaRegression) : Distribution of a Gamma variable

Cumulative distribution function of a Gamma-distributed variable in mean parametrization

● Data Source: CranContrib
● Keywords: distribution
● Alias: pgam
● 0 images

dgam (Package: CopulaRegression) : Density of a Gamma variable

Density of a Gamma-distributed variable in mean parametrization

● Data Source: CranContrib
● Keywords: distribution
● Alias: dgam
● 0 images

density_joint (Package: CopulaRegression) : Joint density of X and Y

Density of a Gamma distributed variable X and a (zero-truncated) Poisson variable Y if their joint distribution is defined via a copula

● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: density_joint
● 0 images

loglik_joint (Package: CopulaRegression) : Loglikelihood of the joint regression model

Loglikelihood of the joint regression model

● Data Source: CranContrib
● Keywords: distribution, models, multivariate
● Alias: loglik_joint
● 0 images

CopulaRegression-package (Package: CopulaRegression) :

This R-packages presents a bivariate, copula-based model for the joint distribution of a pair of continuous and discrete random variables. The two marginal random variables are modeled via generalized linear models, and their joint distribution (represented by a parametric copula family) is estimated using maximum-likelihood techniques.

● Data Source: CranContrib
● Keywords: package
● Alias: CopulaRegression, CopulaRegression-package
● 0 images

simulate_regression_data (Package: CopulaRegression) : Simulate regression data

Simulate regression data

● Data Source: CranContrib
● Keywords: datagen
● Alias: simulate_regression_data
● 0 images

ztp.glm (Package: CopulaRegression) : GLM for a zero truncated Poisson variable

Zero truncated generalized linear model.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: ztp.glm
● 0 images