Add to ORKGtributions to dynrq code essentially identical to his dynlm code),Philip Grosjean [ctb] (Contributions to nlrq code),Brian D Rip-ley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame-- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice) NeedsCompilation yes R topics documented: akj.............................................. 3 anova.rq........................................... 4 bandwidth.rq........................................ 7 barro............................................. 8 boot.crq........................................... 9 boot.rq............................................ 1
A guide to the implementation and interpretation of Quantile Regression models. This book explores t...
BSquare in an R package to conduct Bayesian quantile regression for continuous, discrete, and censor...
Abstract: This paper studies the asymptotic properties of the nonlinear quantile regression model un...
tributions to dynrq code essentially identical to his dynlm code),Philip Grosjean [ctb] (Contributio...
Title: Regression Quantiles Author: Peter Rusnák Department: Department of Probabilty and Mathematic...
Abstract. Quantile regression is an evolving body of statistical methods for estimating and drawing ...
Quantile regression allows to assess the impact of some covariate X on a response Y .An important ap...
[an updated version is now online here] After my series of post on classification algorithms, it's t...
In quantile regression, various quantiles of a response variable Y are modelled as functions of cova...
Volume two of Quantile Regression offers an important guide for applied researchers that draws on th...
Modeling quantile regression coefficients functions permits describing the coefficients of a quanti...
In quantile regression, various quantiles of a response variable Y are modelled as func- tions of co...
Volume two of Quantile Regression offers an important guide for applied researchers that draws on th...
summary:Recently, the eminently popular standard quantile regression has been generalized to the mul...
Quantile regression is a statistical technique used to model quantiles (i.e., percentiles) within a ...
A guide to the implementation and interpretation of Quantile Regression models. This book explores t...
BSquare in an R package to conduct Bayesian quantile regression for continuous, discrete, and censor...
Abstract: This paper studies the asymptotic properties of the nonlinear quantile regression model un...
tributions to dynrq code essentially identical to his dynlm code),Philip Grosjean [ctb] (Contributio...
Title: Regression Quantiles Author: Peter Rusnák Department: Department of Probabilty and Mathematic...
Abstract. Quantile regression is an evolving body of statistical methods for estimating and drawing ...
Quantile regression allows to assess the impact of some covariate X on a response Y .An important ap...
[an updated version is now online here] After my series of post on classification algorithms, it's t...
In quantile regression, various quantiles of a response variable Y are modelled as functions of cova...
Volume two of Quantile Regression offers an important guide for applied researchers that draws on th...
Modeling quantile regression coefficients functions permits describing the coefficients of a quanti...
In quantile regression, various quantiles of a response variable Y are modelled as func- tions of co...
Volume two of Quantile Regression offers an important guide for applied researchers that draws on th...
summary:Recently, the eminently popular standard quantile regression has been generalized to the mul...
Quantile regression is a statistical technique used to model quantiles (i.e., percentiles) within a ...
A guide to the implementation and interpretation of Quantile Regression models. This book explores t...
BSquare in an R package to conduct Bayesian quantile regression for continuous, discrete, and censor...
Abstract: This paper studies the asymptotic properties of the nonlinear quantile regression model un...