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Last data update: 2014.03.03

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Results 281 - 290 of 182600 found.
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print.rq (Package: quantreg) : Print an rq object

Print an object generated by rq

● Data Source: CranContrib
● Keywords: regression
● Alias: print.rq, print.rqs
● 0 images

summary.rq (Package: quantreg) :

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

● Data Source: CranContrib
● Keywords: regression
● Alias: summary.rcrqs, summary.rq, summary.rqs
● 0 images

predict.rq (Package: quantreg) : Quantile Regression Prediction

Prediction based on fitted quantile regression model

● Data Source: CranContrib
● Keywords: regression
● Alias: predict.rq, predict.rq.process, predict.rqs
● 0 images

dynrq (Package: quantreg) : Dynamic Linear Quantile Regression

Interface to rq.fit and rq.wfit for fitting dynamic linear quantile regression models. The interface is based very closely on Achim Zeileis's dynlm package. In effect, this is mainly “syntactic sugar” for formula processing, but one should never underestimate the value of good, natural sweeteners.

● Data Source: CranContrib
● Keywords: regression
● Alias: dynrq, end.dynrq, index.dynrq, print.dynrq, print.dynrqs, print.summary.dynrq, print.summary.dynrqs, start.dynrq, summary.dynrq, summary.dynrqs, time.dynrq
● 0 images

qrisk (Package: quantreg) : Function to compute Choquet portfolio weights

This function solves a weighted quantile regression problem to find the optimal portfolio weights minimizing a Choquet risk criterion described in Bassett, Koenker, and Kordas (2002).

● Data Source: CranContrib
● Keywords: regression, robust
● Alias: qrisk
● 0 images

ranks (Package: quantreg) :

Function to compute ranks from the dual (regression rankscore) process.

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

rq.fit.pfn (Package: quantreg) : Preprocessing Algorithm for Quantile Regression

A preprocessing algorithm for the Frisch Newton algorithm for quantile regression. This is one possible method for rq().

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

rq.fit.sfn (Package: quantreg) : Sparse Regression Quantile Fitting

Fit a quantile regression model using a sparse implementation of the Frisch-Newton interior-point algorithm.

● Data Source: CranContrib
● Keywords: regression
● Alias: rq.fit.sfn, sfnMessage
● 0 images

rqProcess (Package: quantreg) : Compute Standardized Quantile Regression Process

Computes a standardize quantile regression process for the model specified by the formula, on the partition of [0,1] specified by the taus argument, and standardized according to the argument nullH. Intended for use in KhmaladzeTest.

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

FAQ (Package: quantreg) : FAQ and ChangeLog of a package

Show the FAQ or ChangeLog of a specified package

● Data Source: CranContrib
● Keywords: documentation
● Alias: ChangeLog, FAQ
● 0 images