• Trilinos

  • Referenced in 263 articles [sw04028]
  • developers with builds across multiple platforms, generating documentation and regression testing across...
  • rms

  • Referenced in 68 articles [sw04532]
  • regression models and the Buckley-James multiple regression model for right-censored 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...
  • ARC

  • Referenced in 34 articles [sw26078]
  • simple linear regression, then deals with multiple regression and goes to logistic regression and generalized...
  • mgcv

  • Referenced in 44 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), Haley-Knott regression, and multiple imputation. All of this ... order QTL models by multiple imputation and Haley-Knott regression. R/qtl is distributed as source...
  • LogXact

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

  • Referenced in 4 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...
  • ADE-4

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

  • Referenced in 79 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...
  • MEDEA

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

  • Referenced in 3 articles [sw06767]
  • Linear hypotheses are considered for linear regression models with multivariate response. Hy-poth-eses-error ... MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA...
  • nFactors

  • Referenced in 3 articles [sw04547]
  • Gorsuch (CNG); 6. Zoski and Jurs multiple regression (b, t and p); 7. Zoski...
  • 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 large-scale multiple regression with summary statistics from genome-wide association ... studies. Bayesian methods for large-scale 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...
  • erboost

  • Referenced in 2 articles [sw26258]
  • package erboost: Nonparametric Multiple Expectile Regression via ER-Boost. Expectile regression is a nice tool ... based gradient boosting estimator for nonparametric multiple expectile regression...