• glmnet

  • Referenced in 482 articles [sw08159]
  • regularization path for linear regression, logistic and multinomial regression models, poisson regression...
  • gbm

  • Referenced in 50 articles [sw07994]
  • absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial...
  • msgl

  • Referenced in 10 articles [sw26552]
  • package msgl: Multinomial Sparse Group Lasso. Multinomial logistic regression with sparse group lasso penalty. Simultaneous...
  • Glmnet

  • Referenced in 9 articles [sw25026]
  • elastic-net path for linear regression, logistic and multinomial regression, Poisson regression...
  • glmmAK

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

  • Referenced in 3 articles [sw21118]
  • package maxent: Low-memory Multinomial Logistic Regression with Support for Text Classification. maxent ... package with tools for low-memory multinomial logistic regression, also known as maximum entropy...
  • BMR

  • Referenced in 2 articles [sw10668]
  • regression software. This software implements Bayesian multinomial logistic regression (also known as polytomous logistic regression...
  • SoilGrids250m

  • Referenced in 2 articles [sw27798]
  • random forest and gradient boosting and/or multinomial logistic regression—as implemented in the R packages...
  • ADMM-Softmax

  • Referenced in 1 article [sw32744]
  • ADMM-softmax: an ADMM approach for multinomial logistic regression. We present ADMM-Softmax, an alternating ... method of multipliers (ADMM) for solving multinomial logistic regression (MLR) problems. Our method is geared...
  • pmlr

  • Referenced in 1 article [sw21117]
  • package pmlr: Penalized Multinomial Logistic Regression. Extends the approach proposed by Firth (1993) for bias ... exponential family models to the multinomial logistic regression model with general covariate types. Modification...
  • mclgen

  • Referenced in 1 article [sw37391]
  • Stata sbe37: Special restrictions in multinomial logistic regression. Two Stata programs, mclgen and mclest ... used to impose special restrictions on multinomial logistic models. MCL models (Multinomial Conditional Logit, Breen ... conditional logit program to estimate a multinomial logistic model, providing greater flexibility for restrictions ... addition, mclest can estimate stereotyped ordered regression models (Anderson 1984, DiPrete...
  • AcceleratedCVonMLR_matlab

  • Referenced in 1 article [sw34811]
  • AcceleratedCVonMLR_matlab: Approximate cross-validation for multinomial logistic regression with elastic net regularization...
  • soreg

  • Referenced in 1 article [sw37558]
  • Regression (SOR) Model, which can be thought of as imposing ordering constraints on a multinomial ... categorical, rather than ordinal, and use multinomial logistic regression (mlogit) in Stata. This insert describes ... Regression (SOR) Model, which can be thought of as imposing ordering constraints on a multinomial...
  • gmb

  • Referenced in 1 article [sw14565]
  • absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial...
  • femlogit

  • Referenced in 1 article [sw37433]
  • Studies 47: 225–238) derived the multinomial logistic regression with fixed effects. However, this model...
  • svmachines

  • Referenced in 2 articles [sw37429]
  • categorical outcomes analogous to Gaussian, logistic, and multinomial regression. We introduce a new command...
  • SIP

  • Referenced in 4 articles [sw13382]
  • binomial and logistic models, Poisson and multinomial models and other generalized regression models). The book...
  • Clarify

  • Referenced in 3 articles [sw26299]
  • probit, multinomial logit, Poisson regression, negative binomial regression, weibull regression, seemingly unrelated regression equations ... additive logistic normal model for compositional data. Clarify Version 2.1 is forthcoming (2003) in Journal...
  • aster2

  • Referenced in 2 articles [sw32136]
  • exponential family (e. g., logistic regression and Poisson regression with log link) are special cases ... conditionally independent given their predecessor node), including multinomial and two-parameter normal as families. Thus...