
SemiPar
 Referenced in 521 articles
[sw07116]
 package SemiPar: Semiparametic Regression. The primary aim of this book is to guide researchers needing ... flexibly incorporate nonlinear relations into their regression analyses. Almost all existing regression texts treat either ... parametric or nonparametric regression exclusively. In this book the authors argue that nonparametric regression ... relatively simple extension of parametric regression and treat the two together. They refer to this...

KernSmooth
 Referenced in 704 articles
[sw04586]
 nonparametric curve estimation setting, namely density and regression estimation. Special attention is given...

glmnet
 Referenced in 230 articles
[sw08159]
 elasticnet regularization path for linear regression, logistic and multinomial regression models, poisson regression...

alr3
 Referenced in 215 articles
[sw04474]
 alr3: Data to accompany Applied Linear Regression 3rd edition , This package is a companion ... textbook S. Weisberg (2005), ”Applied Linear Regression,” 3rd edition, Wiley. It includes all the data...

gss
 Referenced in 200 articles
[sw06099]
 unified framework. Methods are developed for (i) regression with Gaussian and nonGaussian responses ... popular S/S PLUS language. Code for regression has been distributed in the R package...

robustbase
 Referenced in 271 articles
[sw07114]
 analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics...

SAS/STAT
 Referenced in 248 articles
[sw18788]
 statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric...

Trilinos
 Referenced in 242 articles
[sw04028]
 builds across multiple platforms, generating documentation and regression testing across a set of target platforms...

SVMlight
 Referenced in 234 articles
[sw04076]
 pattern recognition, for the problem of regression, and for the problem of learning a ranking...

UTA Plus
 Referenced in 128 articles
[sw16225]
 procedure, based on a principle of ordinal regression, consist in solving a small linear program ... sensitivity analysis of the ordinal regression problem. There is a friendly user interface in which...

CAViaR
 Referenced in 94 articles
[sw04424]
 CAViaR: Conditional autoregressive value at risk by regression quantiles. Value at risk ... autoregressive process and estimates the parameters with regression quantiles. Utilizing the criterion that each period...

KNITRO
 Referenced in 130 articles
[sw00490]
 nonconvex. It is also effective for nonlinear regression, problems with complementarity constraints (MPCCs or MPECs...

rms
 Referenced in 64 articles
[sw04532]
 package rms: Regression Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting ... contains functions for binary and ordinal logistic regression models and the BuckleyJames multiple regression ... linear models. rms works with almost any regression model, but it was especially written ... work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear...

VisualUTA
 Referenced in 78 articles
[sw16231]
 Ordinal regression revisited: multiple criteria ranking with a set of additive value functions. VisualUTA ... value functions which result from an ordinal regression. The preference information provided by the decision ... alternatives. The preference model built via ordinal regression is a set of all additive value...

SVMTorch
 Referenced in 59 articles
[sw12121]
 SVMTorch: Support vector machines for largescale regression problems. Support Vector Machines (SVMs) for regression ... classification problems, but adapted to regression problems. With this algorithm, one can now efficiently solve ... largescale regression problems (more than 20000 examples). Comparisons with Nodelib, another publicly available ... algorithm for largescale regression problems from G. Flake and S. Lawrence [Mach. Learn...

randomForest
 Referenced in 76 articles
[sw10639]
 Cutler’s random forests for classification and regression. Classification and regression based on a forest...

ftnonpar
 Referenced in 64 articles
[sw11128]
 ftnonpar: Features and Strings for Nonparametric Regression. The package contains Rfunctions to perform ... methods in nonparametric regression and density estimation, described in Davies, P. L. and Kovac...

LISPSTAT
 Referenced in 88 articles
[sw01111]
 model representations, such as linear and nonlinear regression models and generalized linear models. Many aspects...

timereg
 Referenced in 52 articles
[sw08068]
 package timereg: Flexible regression models for survival data. Programs for Martinussen and Scheike (2006), ‘Dynamic ... Regression Models for Survival Data’, Springer Verlag. Plus more recent developments. Additive survival model, semiparametric ... risk models and more. Flexible competing risks regression including GOFtests. Twostage frailty modelling...

KEEL
 Referenced in 83 articles
[sw06791]
 Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary...