
Trilinos
 Referenced in 256 articles
[sw04028]
 developers with builds across multiple platforms, generating documentation and regression testing across...

rms
 Referenced in 65 articles
[sw04532]
 regression models and the BuckleyJames multiple regression model for rightcensored responses, and implements...

VisualUTA
 Referenced in 83 articles
[sw16231]
 Ordinal regression revisited: multiple criteria ranking with a set of additive value functions. VisualUTA ... implementation of the UTA^GMS method for multiple criteria ranking of alternatives from ... value functions which result from an ordinal regression. The preference information provided by the decision...

mgcv
 Referenced in 42 articles
[sw07751]
 GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML...

PRELIS
 Referenced in 34 articles
[sw09526]
 moments; Imputation by matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored...

ITSM
 Referenced in 16 articles
[sw00461]
 estimation and testing procedures relating to multiple regressions. Instead, the ITSM software is designed...

IVEware
 Referenced in 13 articles
[sw07448]
 implements a multivariate model involving a multiple regression sequence where imputation is carried out variable...

PROC GLM
 Referenced in 6 articles
[sw12073]
 different analyses, including the following: simple regression; multiple regression...

R/qtl
 Referenced in 10 articles
[sw20451]
 with the EM algorithm), HaleyKnott regression, and multiple imputation. All of this ... order QTL models by multiple imputation and HaleyKnott regression. R/qtl is distributed as source...

LogXact
 Referenced in 13 articles
[sw12105]
 Regression. The complexity of conducting regression analysis over multiple covariates is welldocumented. The challenge ... their results derived from LogXact’s advanced regression techniques...

ADE4
 Referenced in 4 articles
[sw14077]
 regression methods including lowess and polynomial regression, multiple and PLS (partial least squares) regression...

Simreg
 Referenced in 3 articles
[sw09075]
 developments in multiple comparison and simultaneous confidence bands for linear regression models. The problem ... date, the problem of multiple comparison of regression models has not found ... provides users with software for multiple regression of several regression models. The comparisons...

MEDEA
 Referenced in 4 articles
[sw02208]
 based on advanced procedures of statistical multiple regression; (c) VEGETATION program, that solves the state...

MICE
 Referenced in 70 articles
[sw09315]
 package mice: Multivariate Imputation by Chained Equations. Multiple imputation using Fully Conditional Specification (FCS) implemented ... predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression...

heplots
 Referenced in 3 articles
[sw06767]
 Linear hypotheses are considered for linear regression models with multivariate response. Hypotheseserror ... MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA...

CViz
 Referenced in 3 articles
[sw00178]
 best factors to use in multiple regression analysis and other statistical methods, primarily because...

RSS
 Referenced in 1 article
[sw23316]
 with Summary Statistics: Bayesian largescale multiple regression with summary statistics from genomewide association ... studies. Bayesian methods for largescale multiple regression provide attractive approaches to the analysis ... Statistics” (RSS) likelihood, which relates the multiple regression coefficients to univariate regression results that ... from public databases. We perform Bayesian multiple regression analysis by combining the RSS likelihood with...

nFactors
 Referenced in 2 articles
[sw04547]
 Gorsuch (CNG); 6. Zoski and Jurs multiple regression (b, t and p); 7. Zoski...

SimpleMKL
 Referenced in 49 articles
[sw12290]
 defined as a linear combination of multiple kernels. We propose an algorithm, named SimpleMKL ... applied beyond binary classification, for problems like regression, clustering (oneclass classification) or multiclass classification...

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...