
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, tdistribution 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]
 elasticnet 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: Lowmemory Multinomial Logistic Regression with Support for Text Classification. maxent ... package with tools for lowmemory 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...

ADMMSoftmax
 Referenced in 1 article
[sw32744]
 ADMMsoftmax: an ADMM approach for multinomial logistic regression. We present ADMMSoftmax, 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 crossvalidation 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, tdistribution 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 twoparameter normal as families. Thus...