
glmnet
 Referenced in 647 articles
[sw08159]
 elasticnet regularization path for linear regression, logistic and multinomial regression models, poisson regression...

MICE
 Referenced in 169 articles
[sw09315]
 predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression...

LIBLINEAR
 Referenced in 173 articles
[sw04880]
 largescale linear classification. It supports logistic regression and linear support vector machines. We provide...

rms
 Referenced in 100 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 ... estimation for logistic and ordinary linear models. rms works with almost any regression model ... work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear...

PrivateLR
 Referenced in 90 articles
[sw11354]
 PrivateLR: Differentially Private Regularized Logistic Regression. PrivateLR implements two differentially private algorithms for estimating ... regularized logistic regression coefficients. A randomized algorithm F is epsilondifferentially private (C. Dwork, Differential...

aplore3
 Referenced in 64 articles
[sw11003]
 from Hosmer, Lemeshow and Sturdivant, ”Applied Logistic Regression” (3rd ed.) This package is a unofficial ... companion to the textbook ”Applied Logistic Regression” by D.W. Hosmer, S. Lemeshow and R.X. Sturdivant...

gbm
 Referenced in 60 articles
[sw07994]
 absolute loss, tdistribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial...

PRELIS
 Referenced in 37 articles
[sw09526]
 matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored regression...

ARC
 Referenced in 41 articles
[sw26078]
 with multiple regression and goes to logistic regression and generalized linear models. It has discussions...

BayesLogit
 Referenced in 46 articles
[sw09312]
 versatility of the method, including logistic regression, negative binomial regression, nonlinear mixedeffect models...

SparseLOGREG
 Referenced in 27 articles
[sw11449]
 Algorithm for Gene Selection using Sparse Logistic Regression. Motivation: This paper gives ... efficient algorithm for the sparse logistic regression problem. The proposed algorithm is based...

relibpls8
 Referenced in 34 articles
[sw37142]
 Spiegelman D, Willett WC. Correction of logistic regression relative risk estimates and confidence intervals...

BLINPLUS
 Referenced in 34 articles
[sw37140]
 more model covariates logistic regression coefficients, their standard errors, and odds ratios and 95% confidence...

glmmAK
 Referenced in 28 articles
[sw13218]
 implements maximumlikelihood estimation in the logistic regression with both binary (logit model) and multinomial ... based on MCMC in the logistic and Poisson regression model with random effects whose distribution...

ARock
 Referenced in 32 articles
[sw16800]
 consensus problems. Numerical experiments solving sparse logistic regression problems are presented...

gglasso
 Referenced in 31 articles
[sw14361]
 grouplasso penalized least squares, logistic regression, Huberized SVM and squared...

bmrm
 Referenced in 23 articles
[sw11016]
 epsilon insensitive regression, least mean square, logistic regression, least absolute deviation regression (see package examples...

PROC LOGISTIC
 Referenced in 10 articles
[sw12078]
 LOGISTIC procedure fits linear logistic regression models for discrete response data by the method ... likelihood. It can also perform conditional logistic regression for binary response data and exact logistic ... regression for binary and nominal response data. The maximum likelihood estimation is carried out with ... logit link function in the logistic regression models can be replaced by the probit function...

msgl
 Referenced in 17 articles
[sw26552]
 msgl: Multinomial Sparse Group Lasso. Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature...

DiSCO
 Referenced in 12 articles
[sw28439]
 discuss the results for distributed ridge regression, logistic regression and binary classification with a smoothed...