
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]
 elasticnet path for linear regression, logistic and multinomial regression, Poisson regression...

msgl
 Referenced in 7 articles
[sw26552]
 msgl: Multinomial Sparse Group Lasso. Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature...

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

svylogitgof
 Referenced in 3 articles
[sw06486]
 Goodnessoffit 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...

DiSCO
 Referenced in 4 articles
[sw28439]
 discuss the results for distributed ridge regression, logistic regression and binary classification with a smoothed...

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]
 mixedeffects ordinal probit, logistic, and complementary loglog 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...

maxent
 Referenced in 3 articles
[sw21118]
 package maxent: Lowmemory Multinomial Logistic Regression with Support for Text Classification. maxent ... with tools for lowmemory multinomial logistic regression, also known as maximum entropy. The focus...

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...

WesVar
 Referenced in 4 articles
[sw09333]
 like totals or complicated ones like logistic regression parameter estimates...

LiblineaR
 Referenced in 2 articles
[sw25718]
 supports L2regularized classification (such as logistic regression, L2loss linear SVM and L1loss ... loss linear SVM and logistic regression) and L2regularized 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...

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