• rms

  • Referenced in 88 articles [sw04532]
  • package rms: Regression Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting ... modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley...
  • metafor

  • Referenced in 30 articles [sw12291]
  • such data, carry out moderator and meta-regression analyses, and create various types of meta ... person-time data, the package also provides functions that implement specialized methods, including the Mantel ... effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting meta...
  • PROC LOGISTIC

  • Referenced in 10 articles [sw12078]
  • binary response data and exact logistic regression for binary and nominal response data. The maximum ... parameter estimates. The logit link function in the logistic regression models can be replaced...
  • selectiveInference

  • Referenced in 18 articles [sw19124]
  • regression, the lasso, and the many means problem. The lasso function implements Gaussian, logistic...
  • ridge

  • Referenced in 3 articles [sw14859]
  • Ridge Regression with automatic selection of the penalty parameter. This package contains functions ... fitting linear and logistic ridge regression models, including functions for fitting linear and logistic ridge...
  • lordif

  • Referenced in 5 articles [sw23411]
  • package lordif: Logistic Ordinal Regression Differential Item Functioning using IRT. Analysis of Differential Item Functioning ... items using an iterative hybrid of ordinal logistic regression and item response theory...
  • RAGNU

  • Referenced in 3 articles [sw09591]
  • Fisher’s linear discriminant function and logistic regression. It has also been shown that extensions ... based formulations that incorporate nonlinear (e.g., quadratic) functions of the attribute values are a viable...
  • DiSCO

  • Referenced in 11 articles [sw28439]
  • empirical loss functions, and discuss the results for distributed ridge regression, logistic regression and binary...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • Means clustering, Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses...
  • Quokka

  • Referenced in 5 articles [sw27666]
  • variety of sequence scoring functions combined with an optimized logistic regression algorithm. We evaluated Quokka...
  • PROSPERous

  • Referenced in 5 articles [sw30466]
  • based on logistic regression models and uses different scoring functions and their pairwise combinations...
  • EFS

  • Referenced in 2 articles [sw16126]
  • proved using an also provided function for a logistic regression model, namely logreg_test...
  • weightedScores

  • Referenced in 7 articles [sw12457]
  • Weighted Scores Method for Regression Models with Dependent Data. Has functions that handle the steps ... binary (logistic and probit), Poisson and negative binomial regression, with dependent data. Two versions ... negative binomial regression from Cameron and Trivedi (1998) are used ... parametrization with probability mass function f(y; tau, xi) = Gamma(tau + y) xi^y / [ Gamma...
  • bmrm

  • Referenced in 20 articles [sw11016]
  • package comes with lot of loss functions for machine learning which make it powerful ... optimization, ordinal regression, quantile regression, epsilon insensitive regression, least mean square, logistic regression, least absolute...
  • pmlr

  • Referenced in 1 article [sw21117]
  • covariate types. Modification of the logistic regression score function to remove first-order bias...
  • goodwin.f77

  • Referenced in 22 articles [sw37144]
  • Logistic-normal distributions and related functions arise in a variety of statistical applications of current ... used with multiple covariate regression models of the logistic-normal form. We conducted a simulation...
  • PredictABEL

  • Referenced in 0 articles [sw15384]
  • risks using logistic regression analysis. These logistic regression functions are specifically written for models that...
  • osDesign

  • Referenced in 6 articles [sw11936]
  • phase and case-control designs. Functions in this packages provides Monte Carlo based evaluation ... estimators of the components of a logistic regression model...
  • LOGIT

  • Referenced in 2 articles [sw13909]
  • Data. Functions, data and code for Hilbe, J.M. 2015. Practical Guide to Logistic Regression...
  • Rfast

  • Referenced in 2 articles [sw31536]
  • Functions. A collection of fast (utility) functions for data analysis. Column- and row- wise means ... tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References ... Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow...