
alr3
 Referenced in 227 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...

glmnet
 Referenced in 239 articles
[sw08159]
 elasticnet regularization path for linear regression, logistic and multinomial regression models, poisson regression...

SemiPar
 Referenced in 588 articles
[sw07116]
 semiparametric regression is based on penalized regression splines and mixed models. Every model in this ... book is a special case of the linear mixed model or its generalized counterpart. This ... moderate background in regression, though familiarity with matrix and linear algebra is assumed. Another audience...

LISPSTAT
 Referenced in 113 articles
[sw01111]
 statistical model representations, such as linear and nonlinear regression models and generalized linear models. Many...

LIBLINEAR
 Referenced in 100 articles
[sw04880]
 scale linear classification. It supports logistic regression and linear support vector machines. We provide easy...

LIMDEP
 Referenced in 70 articles
[sw04925]
 estimators for all forms of the linear regression model, and stochastic frontier, discrete choice ... wider range of single and multiple equation linear and nonlinear models. LIMDEP is a true...

rms
 Referenced in 70 articles
[sw04532]
 regression models and the BuckleyJames multiple regression model for rightcensored responses, and implements ... logistic and ordinary linear models. rms works with almost any regression model ... ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the BuckleyJames ... spatially correlated observations, generalized linear models, and quantile regression...

strucchange
 Referenced in 47 articles
[sw07118]
 monitoring and dating structural changes in (linear) regression models. strucchange features tests/methods from the generalized...

Algorithm 39
 Referenced in 29 articles
[sw20048]
 Algorithm 39: Clusterwise linear regression. The combinatorial problem of clusterwise discrete linear approximation is defined ... fast algorithm for clusterwise linear regression...

ARC
 Referenced in 35 articles
[sw26078]
 readers who want to learn applied regression without loading heavy mathematical burden. For such ... exploratory tools it starts with simple linear regression, then deals with multiple regression and goes ... logistic regression and generalized linear models. It has discussions of response and predictor transformations, diagnostics...

PcGets
 Referenced in 42 articles
[sw01937]
 sample over the usual linear regression model and over some models like PcGets. Thus, both...

UTA Plus
 Referenced in 130 articles
[sw16225]
 principle of ordinal regression, consist in solving a small linear program. The program provides piecewise ... linear functions of marginal utility that are as compatible as possible with the given preorder ... sensitivity analysis of the ordinal regression problem. There is a friendly user interface in which...

SAS/STAT
 Referenced in 351 articles
[sw18788]
 statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric ... examples include mixed models, generalized linear models, correspondence analysis, and structural equations...

PRELIS
 Referenced in 35 articles
[sw09526]
 Imputation by matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored regression...

dlm
 Referenced in 26 articles
[sw04503]
 basic elements of Bayesian analysis for linear regression models are reminded, and Markov chain Monte ... presented. Chapter 2 is on dynamic linear models. State space models, dynamic linear models, state...

MNM
 Referenced in 25 articles
[sw06075]
 sample problems, shape estimation and testing, linear regression and principal components...

faraway
 Referenced in 20 articles
[sw04357]
 Generalized linear, mixed effects and nonparametric regression models. Linear models are central to the practice ... Faraway’s critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated ... Linear Model with R surveys the techniques that grow from the regression model, presenting three ... that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author...

DPpackage
 Referenced in 47 articles
[sw10495]
 clustered data using generalized linear mixed models, and regression data using generalized additive models...

gcmr
 Referenced in 19 articles
[sw07433]
 class of Gaussian copula models for marginal regression analysis of nonnormal dependent observations ... provides a natural extension of traditional linear regression models with normal correlated errors. Any kind...

quantreg
 Referenced in 99 articles
[sw04356]
 quantreg: Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear and nonlinear...