• LASSO

  • Referenced in 33 articles [sw02850]
  • wavelets, kernel machines, smoothing splines, multiclass logistic models...
  • PROC GENMOD

  • Referenced in 33 articles [sw11741]
  • include classical linear models with normal errors, logistic and probit models for binary data...
  • metafor

  • Referenced in 33 articles [sw12291]
  • mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package...
  • BLINPLUS

  • Referenced in 32 articles [sw37140]
  • error in one or more model covariates logistic regression coefficients, their standard errors, and odds...
  • relibpls8

  • Referenced in 32 articles [sw37142]
  • Spiegelman D, Willett WC. Correction of logistic regression relative risk estimates and confidence intervals...
  • ARock

  • Referenced in 30 articles [sw16800]
  • decentralized consensus problems. Numerical experiments solving sparse logistic regression problems are presented...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • likelihood estimates for mixed-effects ordinal probit, logistic, and complementary log-log regression models. These...
  • eRm

  • Referenced in 24 articles [sw06658]
  • Modeling. eRm fits Rasch models (RM), linear logistic test models (LLTM), rating scale model...
  • bmrm

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

  • Referenced in 21 articles [sw14361]
  • group-lasso penalized least squares, logistic regression, Huberized SVM and squared...
  • selectiveInference

  • Referenced in 21 articles [sw19124]
  • means problem. The lasso function implements Gaussian, logistic and Cox survival models...
  • PROC LOGISTIC

  • Referenced in 10 articles [sw12078]
  • LOGISTIC procedure fits linear logistic regression models for discrete response data by the method ... maximum 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 ... estimates. The logit link function in the logistic regression models can be replaced...
  • msgl

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

  • Referenced in 16 articles [sw12105]
  • LogXact® 11: Exact Inference for Logistic Regression. The complexity of conducting regression analysis over multiple...
  • OPLM

  • Referenced in 11 articles [sw13412]
  • OPLM: One Parameter Logistic Model. Computer program and manual. OPLM is also the name ... within the framework of the One Parameter Logistic Model (OPLM). It can handle items that...
  • repolr

  • Referenced in 10 articles [sw07133]
  • package repolr: Repeated Measures Proportional Odds Logistic Regression. Repeated measures proportional odds logistic regression analysis...
  • LLTM

  • Referenced in 10 articles [sw11327]
  • Equivalent linear logistic test models. This paper is about the linear logistic test model (LLTM...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • computer program for mixed-effects nominal logistic regression. MIXNO provides maximum marginal likelihood estimates ... mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated...
  • reglogit

  • Referenced in 9 articles [sw14464]
  • reglogit: Simulation-Based Regularized Logistic Regression. Regularized (polychotomous) logistic regression by Gibbs sampling. The package...