• rms

  • Referenced in 85 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...
  • ARC

  • Referenced in 38 articles [sw26078]
  • deals with multiple regression and goes to logistic regression and generalized linear models...
  • LIMDEP

  • Referenced in 75 articles [sw04925]
  • linear regression model, and stochastic frontier, discrete choice and limited dependent variable models, including models ... models. No other program offers a wider range of single and multiple equation linear...
  • multiColl

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

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

  • Referenced in 62 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 ... based on wavelet kernels and on some model selection problems related to multiclass classification problems...
  • Segmented

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

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

  • Referenced in 29 articles [sw12291]
  • generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally ... provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors ... effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms...
  • MRCE

  • Referenced in 1 article [sw18485]
  • /10.1198/jcgs.2010.09188”>doi:10.1198/jcgs.2010.09188>. This estimator fits the multiple output linear regression model with a sparse estimator...
  • wwcode

  • Referenced in 18 articles [sw26044]
  • estimates. For instance, estimation, tests of linear hypotheses, residual analyses, and diagnostics to detect differences ... analyze a regression model, designed experiment, and autoregressive time series model for the sake ... freely available and runs on multiple platforms, WW-estimation and associated inference is now universally...
  • MATNEM

  • Referenced in 0 articles [sw05713]
  • ARMA, multiplicative error models (GARCH, ACD)), and frequentist model averaging algorithms (linear regression model, multiplicative...
  • multtest

  • Referenced in 22 articles [sw08262]
  • parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling ... statistics based on regression parameters from linear and survival models as well as those based...
  • PROC GLM

  • Referenced in 8 articles [sw12073]
  • framework of general linear models. PROC GLM handles models relating one or several continuous dependent ... different analyses, including the following: simple regression; multiple regression...
  • PIRLS

  • Referenced in 1 article [sw26379]
  • Additive, Multiplicative, Power, and Non-linear Models. A computer program to estimate Poisson regression coefficients ... deletion residuals for additive, multiplicative, power, and non-linear models is described. Data used ... goodness of fit statistics, and residuals for regression diagnostics...
  • heplots

  • Referenced in 5 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...
  • Evolino

  • Referenced in 17 articles [sw36450]
  • limited in their ability to model non-linear dynamical systems. Most supervised gradient-based recurrent ... sequence learning, EVOlution of recurrent systems with LINear outputs (Evolino). Evolino uses evolution to discover ... methods such as linear regression or quadratic programming to compute optimal linear mappings from hidden ... problem domains: 1) context-sensitive languages, 2) multiple superimposed sine waves, and 3) the Mackey...
  • BLNN

  • Referenced in 1 article [sw32579]
  • developing statistical models such as multiple linear and logistic regression, classification, and survival analysis...
  • TEEReg

  • Referenced in 0 articles [sw15460]
  • Elemental Estimation for Linear Models. For fitting multiple linear regressions, the ordinary least squares approach ... sensitive to outliers and/or violations of model assumptions. The trimmed elemental estimators are more robust...
  • joineRML

  • Referenced in 4 articles [sw19419]
  • hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using ... multivariate version of the Laird and Ware linear mixed model. The association is captured...