R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 38 found.
[1] < 1 2 3 4 > [4] Sort:

fitted.ssanova (Package: gss) : Fitted Values and Residuals from Smoothing Spline ANOVA Fits

Methods for extracting fitted values and residuals from smoothing spline ANOVA fits.

● Data Source: CranContrib
● Keywords: models, regression, smooth
● Alias: fitted.gssanova, fitted.ssanova, residuals.gssanova, residuals.ssanova
● 0 images

ssllrm (Package: gss) : Fitting Smoothing Spline Log-Linear Regression Models

Fit smoothing spline log-linear regression models. The symbolic model specification via formula follows the same rules as in lm.

● Data Source: CranContrib
● Keywords: models, regression, smooth
● Alias: ssllrm
● 0 images

dsscden (Package: gss) : Evaluating PDF, CDF, and Quantiles of Smoothing Spline

Evaluate pdf, cdf, and quantiles for smoothing spline conditional density estimates.

● Data Source: CranContrib
● Keywords: distribution, models, smooth
● Alias: d.sscden, d.sscden1, dsscden, psscden, qsscden
● 0 images

predict.sscox (Package: gss) : Evaluating Smoothing Spline ANOVA Estimate of Relative Risk

Evaluate terms in a smoothing spline ANOVA estimate of relative risk at arbitrary points. Standard errors of the terms can be requested for use in constructing Bayesian confidence intervals.

● Data Source: CranContrib
● Keywords: models, regression, smooth, survival
● Alias: predict.sscox
● 0 images

gssanova0 (Package: gss) : Fitting Smoothing Spline ANOVA Models with Non-Gaussian Responses

Fit smoothing spline ANOVA models in non-Gaussian regression. The symbolic model specification via formula follows the same rules as in lm and glm.

● Data Source: CranContrib
● Keywords: models, regression, smooth
● Alias: gssanova0, gssanova1
● 0 images

mkcov (Package: gss) :

Generate entries of covariance functions for correlated data.

● Data Source: CranContrib
● Keywords: internal
● Alias: mkcov, mkcov.arma, mkcov.known, mkcov.long
● 0 images

ssden (Package: gss) : Estimating Probability Density Using Smoothing Splines

Estimate probability densities using smoothing spline ANOVA models. The symbolic model specification via formula follows the same rules as in lm, but with the response missing.

● Data Source: CranContrib
● Keywords: distribution, models, smooth
● Alias: ssden, ssden1
● 0 images

cdssden (Package: gss) : Evaluating Conditional PDF, CDF, and Quantiles of Smoothing

Evaluate conditional pdf, cdf, and quantiles for smoothing spline density estimates.

● Data Source: CranContrib
● Keywords: distribution, models, smooth
● Alias: cdssden, cpssden, cqssden
● 0 images

mkrk.nominal (Package: gss) :

Craft numerical functions to be used by mkterm to assemble model terms involving factors.

● Data Source: CranContrib
● Keywords: internal
● Alias: mkrk.nominal, mkrk.ordinal
● 0 images

family (Package: gss) : Utility Functions for Error Families

Utility functions for fitting Smoothing Spline ANOVA models with non-Gaussian responses.

● Data Source: CranContrib
● Keywords: internal
● Alias: cfit.Gamma, cfit.binomial, cfit.inverse.gaussian, cfit.loglogis, cfit.lognorm, cfit.nbinomial, cfit.poisson, cfit.weibull, cv.Gamma, cv.binomial, cv.inverse.gaussian, cv.loglogis, cv.lognorm, cv.nbinomial, cv.poisson, cv.weibull, dev.null.Gamma, dev.null.binomial, dev.null.inverse.gaussian, dev.null.loglogis, dev.null.lognorm, dev.null.nbinomial, dev.null.poisson, dev.null.weibull, dev.resid.Gamma, dev.resid.binomial, dev.resid.inverse.gaussian, dev.resid.loglogis, dev.resid.lognorm, dev.resid.nbinomial, dev.resid.poisson, dev.resid.weibull, dev0.resid.loglogis, dev0.resid.lognorm, kl.Gamma, kl.binomial, kl.inverse.gaussian, kl.loglogis, kl.lognorm, kl.nbinomial, kl.poisson, kl.weibull, mkdata.Gamma, mkdata.binomial, mkdata.inverse.gaussian, mkdata.loglogis, mkdata.lognorm, mkdata.nbinomial, mkdata.poisson, mkdata.weibull, proj0.Gamma, proj0.binomial, proj0.inverse.gaussian, proj0.loglogis, proj0.lognorm, proj0.nbinomial, proj0.poisson, proj0.weibull, y0.Gamma, y0.binomial, y0.inverse.gaussian, y0.loglogis, y0.lognorm, y0.nbinomial, y0.poisson, y0.weibull
● 0 images