• glmnet

  • Referenced in 422 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...
  • glmmAK

  • Referenced in 24 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...
  • PROC GENMOD

  • Referenced in 27 articles [sw11741]
  • errors, logistic and probit models for binary data, and log-linear models for multinomial data...
  • gbm

  • Referenced in 43 articles [sw07994]
  • Generalized Boosted Regression Models. This package implements extensions to Freund and Schapire’s AdaBoost algorithm ... loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood...
  • Glmnet

  • Referenced in 7 articles [sw25026]
  • Lasso and elastic-net regularized generalized linear models. This is a Matlab port ... linear regression, logistic and multinomial regression, Poisson regression and the Cox model. Features include: high...
  • catspec

  • Referenced in 1 article [sw31569]
  • model using glm or in a multinomial logistic model using mlogit or clogit...
  • 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...
  • SIP

  • Referenced in 3 articles [sw13382]
  • linear models, binomial and logistic models, Poisson and multinomial models and other generalized regression models...
  • penalized

  • Referenced in 1 article [sw23855]
  • generalized linear model (gaussian, logistic, poisson, or multinomial) using any of ten provided penalties ... extended by creating new maximum likelihood models or new penalties. The toolbox also includes routines...
  • Clarify

  • Referenced in 3 articles [sw26299]
  • statistical models, including linear regression, binary logit, binary probit, ordered logit, ordered probit, multinomial logit ... unrelated regression equations, and the additive logistic normal model for compositional data. Clarify Version...
  • gmb

  • Referenced in 1 article [sw14565]
  • Generalized Boosted Regression Models. An implementation of extensions to Freund and Schapire’s AdaBoost algorithm ... loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood...
  • SoilGrids250m

  • Referenced in 1 article [sw27798]
  • random forest and gradient boosting and/or multinomial logistic regression—as implemented in the R packages ... fold cross-validation show that the ensemble models explain between 56% (coarse fragments...
  • aster2

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

  • Referenced in 0 articles [sw31484]
  • solvers for learning linear models, based on stochastic variance-reduced stochastic optimization with acceleration mechanisms ... large variety of loss functions (logistic, square, squared hinge, multinomial logistic) and regularization functions...
  • milr

  • Referenced in 0 articles [sw15884]
  • such data set are binary or multinomial, and, we can only observe the subject-level ... milr package focuses on the predictive model for the multiple instance data set with binary ... Expectation-Maximization algorithm under the framework of logistic regression. Moreover, the LASSO penalty is attached...
  • CoCoA

  • Referenced in 605 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...
  • Expokit

  • Referenced in 170 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • GAUSS

  • Referenced in 114 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • Maple

  • Referenced in 4919 articles [sw00545]
  • The result of over 30 years of cutting...
  • MapReduce

  • Referenced in 234 articles [sw00546]
  • MapReduce is a new parallel programming model initially...