• PRELIS

  • Referenced in 36 articles [sw09526]
  • moments; Imputation by matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored...
  • ARC

  • Referenced in 37 articles [sw26078]
  • deals with multiple regression and goes to logistic regression and generalized linear models...
  • rms

  • Referenced in 84 articles [sw04532]
  • regression models and the Buckley-James multiple regression model for right-censored responses, and implements ... maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression...
  • AS 135

  • Referenced in 7 articles [sw27918]
  • estimates for a linear multiple regression problem...
  • LIMDEP

  • Referenced in 75 articles [sw04925]
  • estimators for all forms of the linear regression model, and stochastic frontier, discrete choice ... wider range of single and multiple equation linear and nonlinear models. LIMDEP is a true...
  • multiColl

  • Referenced in 2 articles [sw30768]
  • package multiColl: Collinearity Detection in a Multiple Linear Regression Model. The detection of worrying approximate ... collinearity in a multiple linear regression model is a problem addressed in all existing statistical...
  • AS 108

  • Referenced in 3 articles [sw27960]
  • Algorithm AS 108. Multiple linear regression with minimum sum of absolute errors...
  • ESS++

  • Referenced in 4 articles [sw24089]
  • Bayesian variable selection for linear regression using evolutionary Monte Carlo. ESS++ is a C++ implementation ... selection approach for single and multiple response linear regression. ESS++ works well both when...
  • ltsbase

  • Referenced in 2 articles [sw27788]
  • estimators based on LTS method in multiple linear regression analysis...
  • cftool

  • Referenced in 8 articles [sw14885]
  • Create, plot, and compare multiple fits. Use linear or nonlinear regression, interpolation, smoothing, and custom...
  • SimpleMKL

  • Referenced in 61 articles [sw12290]
  • kernel is defined as a linear combination of multiple kernels. We propose an algorithm, named ... applied beyond binary classification, for problems like regression, clustering (one-class classification) or multiclass classification...
  • Simreg

  • Referenced in 5 articles [sw09075]
  • developments in multiple comparison and simultaneous confidence bands for linear regression models. The problem...
  • nls2

  • Referenced in 6 articles [sw04483]
  • nls2: Non-linear regression with brute force , Adds algorithm=”brute-force” and multiple starting values...
  • Analyse-it

  • Referenced in 1 article [sw05960]
  • square, Fisher, Shapiro-Wilk, correlation, multiple linear regression & polynomial regression...
  • ADE-4

  • Referenced in 6 articles [sw14077]
  • groups analyses, many linear regression methods including lowess and polynomial regression, multiple and PLS (partial...
  • Segmented

  • Referenced in 10 articles [sw08128]
  • Segmented relationships in regression models with breakpoints/changepoints estimation. Given a (generalized) linear model, segmented ‘updates ... more segmented relationships. Several variables with multiple breakpoints are allowed...
  • metafor

  • Referenced in 29 articles [sw12291]
  • generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally ... effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms...
  • MRCE

  • Referenced in 1 article [sw18485]
  • package MRCE. Multivariate Regression with Covariance Estimation. Compute and select tuning parameters for the MRCE ... /10.1198/jcgs.2010.09188”>doi:10.1198/jcgs.2010.09188>. This estimator fits the multiple output linear regression model with a sparse estimator...
  • bayesreg

  • Referenced in 1 article [sw31331]
  • only supports Bayesian regularization for linear regression models. Multiple shrinkage priors are implemented that will...
  • groc

  • Referenced in 1 article [sw24173]
  • Regression on Orthogonal Components. Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components...