• repolr

  • Referenced in 5 articles [sw07133]
  • package repolr: Repeated Measures Proportional Odds Logistic Regression. Repeated measures proportional odds logistic regression analysis...
  • Glmnet

  • Referenced in 6 articles [sw25026]
  • elastic-net path for linear regression, logistic and multinomial regression, Poisson regression...
  • DTREG

  • Referenced in 5 articles [sw23356]
  • Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses...
  • 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...
  • msgl

  • Referenced in 6 articles [sw26552]
  • msgl: Multinomial Sparse Group Lasso. Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature...
  • lordif

  • Referenced in 4 articles [sw23411]
  • package lordif: Logistic Ordinal Regression Differential Item Functioning using IRT. Analysis of Differential Item Functioning ... using an iterative hybrid of ordinal logistic regression and item response theory...
  • MIXOR

  • Referenced in 16 articles [sw08990]
  • mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models...
  • osDesign

  • Referenced in 5 articles [sw11936]
  • estimators of the components of a logistic regression model...
  • Quokka

  • Referenced in 5 articles [sw27666]
  • scoring functions combined with an optimized logistic regression algorithm. We evaluated Quokka based on well...
  • Statistix

  • Referenced in 3 articles [sw17939]
  • text files, linear models (including linear regression, logistic regression, Poisson regression, and ANOVA), nonlinear regression...
  • rr

  • Referenced in 4 articles [sw15913]
  • randomized response as the outcome and logistic regression with the randomized response item...
  • 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...
  • LiblineaR

  • Referenced in 2 articles [sw25718]
  • supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss ... loss linear SVM and logistic regression) and L2-regularized support vector regression (with ... validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data...
  • MHTrajectoryR

  • Referenced in 2 articles [sw18786]
  • Bayesian model selection in logistic regression for the detection of adverse drug reactions. Spontaneous adverse ... coprescriptions and masking effects. Recently, logistic regressions have been used with a Lasso type penalty ... paper, we propose to use a logistic regression whose sparsity is viewed as a model...
  • RRLOGIT

  • Referenced in 2 articles [sw21608]
  • RRLOGIT: Stata module to estimate logistic regression for randomized response data. rrlogit fits a maximum ... likelihood logistic regression for randomized response data...
  • XLOGLIN

  • Referenced in 2 articles [sw01027]
  • improved computer program for multivariate logistic regression. XLOGLIN is a computer program for multivariate logistic...
  • maxent

  • Referenced in 2 articles [sw21118]
  • package maxent: Low-memory Multinomial Logistic Regression with Support for Text Classification. maxent ... with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus...
  • ncvreg

  • Referenced in 3 articles [sw08179]
  • fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with...
  • elrm

  • Referenced in 2 articles [sw25834]
  • Software Implementing Exact-Like Inference for Logistic Regression Models. Exact inference is based ... remaining sufficient statistics. Exact inference for logistic regression can be problematic when data sets...
  • grpreg

  • Referenced in 3 articles [sw15799]
  • regularization path of linear or logistic regression models with grouped penalties. This includes group selection...