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Last data update: 2014.03.03

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Results 291 - 300 of 182600 found.
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predict.rqss (Package: quantreg) : Predict from fitted nonparametric quantile regression smoothing spline models

Additive models for nonparametric quantile regression using total variation penalty methods can be fit with the rqss function. Univarariate and bivariate components can be predicted using these functions.

● Data Source: CranContrib
● Keywords: regression, robust, smooth
● Alias: predict.qss1, predict.qss2, predict.rqss
● 0 images

rq.wfit (Package: quantreg) : Function to choose method for Weighted Quantile Regression

Weight the data and then call the chosen fitting algorithm.

● Data Source: CranContrib
● Keywords: regression
● Alias: rq.wfit
● 0 images

summary.crq (Package: quantreg) :

Returns a summary object for a censored quantile regression fit. A null value will be returned if printing is invoked.

● Data Source: CranContrib
● Keywords: regression
● Alias: plot.summary.crqs, print.summary.crq, print.summary.crqs, summary.crq, summary.crqs
● 0 images

residuals.nlrq (Package: quantreg) : Return residuals of an nlrq object

Set algorithmic parameters for nlrq (nonlinear quantile regression function)

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

crq (Package: quantreg) : Functions to fit censored quantile regression models

Fits a conditional quantile regression model for censored data. There are three distinct methods: the first is the fixed censoring method of Powell (1986) as implemented by Fitzenberger (1996), the second is the random censoring method of Portnoy (2003). The third method is based on Peng and Huang (2008).

● Data Source: CranContrib
● Keywords: regression, survival
● Alias: Curv, coef.crq, crq, crq.fit.pen, crq.fit.por, crq.fit.por2, crq.fit.pow, predict.crq, predict.crqs, print.crq
● 0 images

anova.rq (Package: quantreg) : Anova function for quantile regression fits

Compute test statistics for two or more quantile regression fits.

● Data Source: CranContrib
● Keywords: htest, regression, robust
● Alias: anova.rq, anova.rqlist, anova.rqs, print.anova.rq, rq.test.anowar, rq.test.rank
● 0 images

latex.summary.rqs (Package: quantreg) : Make a latex table from a table of rq results

Produces a file with latex commands for a table of rq results.

● Data Source: CranContrib
● Keywords: IO
● Alias: latex.summary.rqs
● 0 images

nlrq (Package: quantreg) : Function to compute nonlinear quantile regression estimates

This function implements an R version of an interior point method for computing the solution to quantile regression problems which are nonlinear in the parameters. The algorithm is based on interior point ideas described in Koenker and Park (1994).

● Data Source: CranContrib
● Keywords: models, nonlinear, regression, robust
● Alias: AIC.nlrq, coef.nlrq, deviance.nlrq, extractAIC.nlrq, fitted.nlrq, formula.nlrq, logLik.nlrq, nlrq, nlrqModel, predict.nlrq, print.nlrq, print.summary.nlrq, summary.nlrq, tau.nlrq
● 0 images

critval (Package: quantreg) :

Critical values for uniform confidence bands for rqss fitting

● Data Source: CranContrib
● Keywords: regression
● Alias: critval
● 0 images

boot.crq (Package: quantreg) : Bootstrapping Censored Quantile Regression

Functions used to estimated standard errors, confidence intervals and tests of hypotheses for censored quantile regression models using the Portnoy and Peng-Huang methods.

● Data Source: CranContrib
● Keywords: regression
● Alias: boot.crq
● 0 images