• glmnet

  • Referenced in 461 articles [sw08159]
  • Lasso and elastic-net regularized generalized linear models. Extremely efficient procedures for fitting the entire ... regularization path for linear regression, logistic and multinomial regression models, poisson regression...
  • rms

  • Referenced in 85 articles [sw04532]
  • Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design ... contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression ... estimation for logistic and ordinary linear models. rms works with almost any regression model ... binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models...
  • MICE

  • Referenced in 130 articles [sw09315]
  • models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered ... categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute ... continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used...
  • glmmAK

  • Referenced in 25 articles [sw13218]
  • likelihood estimation in the logistic regression with both binary (logit model) and multinomial response (cumulative ... based on MCMC in the logistic and Poisson regression model with random effects whose distribution...
  • metafor

  • Referenced in 29 articles [sw12291]
  • such data, carry out moderator and meta-regression analyses, and create various types of meta ... models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality...
  • 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 ... logit link function in the logistic regression models can be replaced by the probit function...
  • ARC

  • Referenced in 38 articles [sw26078]
  • regression and goes to logistic regression and generalized linear models. It has discussions of response...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • augmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals ... method, including logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models...
  • svylogitgof

  • Referenced in 3 articles [sw06486]
  • Goodness-of-fit 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...
  • grpreg

  • Referenced in 6 articles [sw15799]
  • regularization path of linear or logistic regression models with grouped penalties. This includes group selection...
  • osDesign

  • Referenced in 6 articles [sw11936]
  • estimators of the components of a logistic regression model...
  • cvplogistic

  • Referenced in 4 articles [sw29394]
  • Package: cvplogistic. Penalized Logistic Regression Model using Majorization Minimization by Coordinate Descent (MMCD) Algorithm ... solution surface for concave penalized logistic regression model. The SCAD and MCP (default ... more smooth fit for the logistic model. Tuning parameter selection method by k-fold cross...
  • MIXOR

  • Referenced in 23 articles [sw08990]
  • mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models...
  • ncvreg

  • Referenced in 5 articles [sw08179]
  • fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with...
  • PROSPERous

  • Referenced in 5 articles [sw30466]
  • sequences. Our tool is based on logistic regression models and uses different scoring functions...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • DTREG predictive modelling software. Ease of use. DTREG is a robust application that is installed ... Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses...
  • gbm

  • Referenced in 49 articles [sw07994]
  • Generalized Boosted Regression Models. This package implements extensions to Freund and Schapire’s AdaBoost algorithm ... Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis...
  • ridge

  • Referenced in 3 articles [sw14859]
  • functions for fitting linear and logistic ridge regression models, including functions for fitting linear ... logistic ridge regression models for genome-wide SNP data supplied as file names when...
  • BayesReg

  • Referenced in 3 articles [sw31836]
  • Local Shrinkage Priors. Fits linear or logistic regression model using Bayesian global-local shrinkage prior ... Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed...