
Trilinos
 Referenced in 377 articles
[sw04028]
 developers with builds across multiple platforms, generating documentation and regression testing across...

rms
 Referenced in 90 articles
[sw04532]
 regression models and the BuckleyJames multiple regression model for rightcensored responses, and implements...

VisualUTA
 Referenced in 109 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 87 articles
[sw07751]
 GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML...

ARC
 Referenced in 39 articles
[sw26078]
 simple linear regression, then deals with multiple regression and goes to logistic regression and generalized...

PRELIS
 Referenced in 37 articles
[sw09526]
 moments; Imputation by matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored...

IVEware
 Referenced in 18 articles
[sw07448]
 implements a multivariate model involving a multiple regression sequence where imputation is carried out variable...

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

goodwin.f77
 Referenced in 22 articles
[sw37144]
 this method can be used with multiple covariate regression models of the logisticnormal form...

PROC GLM
 Referenced in 8 articles
[sw12073]
 different analyses, including the following: simple regression; multiple regression...

R/qtl
 Referenced in 13 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...

ADE4
 Referenced in 8 articles
[sw14077]
 regression methods including lowess and polynomial regression, multiple and PLS (partial least squares) regression...

MICE
 Referenced in 134 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...

erboost
 Referenced in 7 articles
[sw26258]
 package erboost: Nonparametric Multiple Expectile Regression via ERBoost. Expectile regression is a nice tool ... based gradient boosting estimator for nonparametric multiple expectile regression...

LogXact
 Referenced in 16 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...

AS 135
 Referenced in 7 articles
[sw27918]
 estimates for a linear multiple regression problem...

Simreg
 Referenced in 5 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...

heplots
 Referenced in 5 articles
[sw06767]
 Linear hypotheses are considered for linear regression models with multivariate response. Hypotheseserror ... MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA...

basta
 Referenced in 13 articles
[sw29265]
 Multiplechangepoint detection for autoregressive conditional heteroscedastic processes. The emergence of the recent ... detecting multiple change points in the structure of an autoregressive conditional heteroscedastic model...

RSS
 Referenced in 2 articles
[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...