
glmnet
 Referenced in 133 articles
[sw08159]
 elasticnet regularization path for linear regression, logistic and multinomial regression models, poisson regression...

LIBLINEAR
 Referenced in 55 articles
[sw04880]
 largescale linear classification. It supports logistic regression and linear support vector machines. We provide...

rms
 Referenced in 32 articles
[sw04532]
 Regression Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced ... 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 29 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...

PRELIS
 Referenced in 26 articles
[sw09526]
 matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored regression...

MICE
 Referenced in 22 articles
[sw09315]
 predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression...

gbm
 Referenced in 20 articles
[sw07994]
 absolute loss, tdistribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial...

SparseLOGREG
 Referenced in 13 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...

glmmAK
 Referenced in 14 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...

bmrm
 Referenced in 11 articles
[sw11016]
 epsilon insensitive regression, least mean square, logistic regression, least absolute deviation regression (see package examples...

reglogit
 Referenced in 5 articles
[sw14464]
 reglogit: SimulationBased Regularized Logistic Regression. Regularized (polychotomous) logistic regression by Gibbs sampling. The package...

PROC LOGISTIC
 Referenced in 4 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...

MIXNO
 Referenced in 5 articles
[sw10546]
 computer program for mixedeffects nominal logistic regression. MIXNO provides maximum marginal likelihood estimates ... mixedeffects nominal logistic regression analysis. These models can be used for analysis of correlated...

LogXact
 Referenced in 6 articles
[sw12105]
 LogXact® 11: Exact Inference for Logistic Regression. The complexity of conducting regression analysis over multiple...

aplore3
 Referenced in 4 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...

BayesLogit
 Referenced in 5 articles
[sw09312]
 versatility of the method, including logistic regression, negative binomial regression, nonlinear mixedeffect models...

svylogitgof
 Referenced in 2 articles
[sw06486]
 Goodnessoffit tests for logistic regression models when data are collected using a complex ... sampling design Logistic regression models are frequently used in epidemiological studies for estimating associations that ... absent. After the coefficients in a logistic regression model have been estimated, goodness ... scale sample survey data when fitting logistic regression models, such as the National Health Interview...

MIXOR
 Referenced in 14 articles
[sw08990]
 mixedeffects ordinal probit, logistic, and complementary loglog regression models. These models...

BMR
 Referenced in 2 articles
[sw10668]
 software. This software implements Bayesian multinomial logistic regression (also known as polytomous logistic regression ... polychotomous logistic regression). The software will also perform polytomous classification (also called...

metafor
 Referenced in 8 articles
[sw12291]
 such data, carry out moderator and metaregression analyses, and create various types of meta ... models (i.e., mixedeffects (conditional) logistic and Poisson regression models). Finally, the package provides functionality...