
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 BuckleyJames multiple regression model for rightcensored 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 (oneclass 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: Nonlinear regression with brute force , Adds algorithm=”bruteforce” and multiple starting values...

Analyseit
 Referenced in 1 article
[sw05960]
 square, Fisher, ShapiroWilk, correlation, multiple linear regression & polynomial regression...

ADE4
 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 (mixedeffects) models (i.e., mixedeffects (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...