R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 16 found.
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cluster.cormat (Package: gcmr) :

Sets longitudinal/clustered data correlation in Gaussian copula regression models.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: cluster.cormat
● 0 images

ind.cormat (Package: gcmr) :

Sets working independence correlation in Gaussian copula marginal regression models.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: ind.cormat
● 0 images

gcmr-package (Package: gcmr) :

Fits Gaussian copula marginal regression models described in Song (2000) and Masarotto and Varin (2012).

● Data Source: CranContrib
● Keywords: package
● Alias: gcmr-package
● 0 images

epilepsy (Package: gcmr) :

Longitudinal study on epilitic seizures (Thall and Vail, 1990; Diggle et al. 2002). The data consist into 59 individuals with five observations each: The baseline eight-week interval and measurements collected at subsequent visits every two-week.

● Data Source: CranContrib
● Keywords:
● Alias: epilepsy
● 0 images

matern.cormat (Package: gcmr) :

Sets a Matern spatial correlation matrix in Gaussian copula marginal regression models.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: matern.cormat
● 0 images

cormat.gcmr (Package: gcmr) : Correlation Matrices for Gaussian Copula Regression Models

Class of correlation matrices available in the gcmr package.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: cormat.gcmr
● 0 images

gaussian.marg (Package: gcmr) :

These functions set the marginals in Gaussian copula marginal regression models.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: Gamma.marg, beta.marg, binomial.marg, bn.marg, gaussian.marg, gs.marg, nb.marg, negbin.marg, poisson.marg, ps.marg, weibull.marg
● 0 images

residuals.gcmr (Package: gcmr) : Quantile Residuals for Gaussian Copula Marginal Regression

Computes various type of quantile residuals for validation of a fitted Gaussian copula marginal regression model, as described in Masarotto and Varin (2012).

● Data Source: CranContrib
● Keywords: models, regression
● Alias: residuals.gcmr
● 0 images

HUR (Package: gcmr) :

Rate of hidden unemployment due to substandard work conditions in Sao Paulo, Brazil (Rocha and Cribari-Neto, 2009).

● Data Source: CranContrib
● Keywords:
● Alias: HUR
● 0 images

marginal.gcmr (Package: gcmr) : Marginals for Gaussian Copula Marginal Regression

Class of marginals available in the gcmr library.

● Data Source: CranContrib
● Keywords: nonlinear, regression
● Alias: marginal.gcmr
● 0 images