• SemiPar

  • Referenced in 714 articles [sw07116]
  • regression is based on penalized regression splines and mixed models. Every model in this book ... special case of the linear mixed model or its generalized counterpart. This book is very ... scientists with only a moderate background in regression, though familiarity with matrix and linear algebra...
  • SAS/STAT

  • Referenced in 423 articles [sw18788]
  • statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric ... nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...
  • DPpackage

  • Referenced in 68 articles [sw10495]
  • clustered data using generalized linear mixed models, and regression data using generalized additive models...
  • KNITRO

  • Referenced in 191 articles [sw00490]
  • nonlinear regression, problems with complementarity constraints (MPCCs or MPECs), and mixed-integer programming (MIPs), particular...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • method, including logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • MIXOR: a computer program for mixed-effects ordinal regression analysis. MIXOR provides maximum marginal likelihood ... estimates for mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models ... longitudinal design. For clustered data, the mixed-effects model assumes that data within clusters...
  • faraway

  • Referenced in 24 articles [sw04357]
  • model with R. Generalized linear, mixed effects and nonparametric regression models. Linear models are central ... generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment ... topics that include GLM diagnostics, generalized linear mixed models, trees, and even...
  • mgcv

  • Referenced in 94 articles [sw07751]
  • package mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation. Routines for GAMs and other ... generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs...
  • metafor

  • Referenced in 31 articles [sw12291]
  • mixed-effects models to such data, carry out moderator and meta-regression analyses, and create ... mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package...
  • np

  • Referenced in 97 articles [sw10543]
  • regression models, among others. The np package focuses on kernel methods appropriate for the mix...
  • ordinal

  • Referenced in 26 articles [sw12561]
  • Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models ... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation...
  • spikeSlabGAM

  • Referenced in 9 articles [sw07415]
  • regularized estimation for (spatial) generalized additive mixed regression models via SSVS with spike-and-slab...
  • Spatial Statistics

  • Referenced in 8 articles [sw06026]
  • conditional spatial autoregressions (CAR), and mixed regressive spatially autoregressive (MRSA) models. In addition, it contains...
  • CRIO

  • Referenced in 27 articles [sw04840]
  • classification and regression. The second part describes our cardinality-constrained quadratic mixed-integer optimization algorithm...
  • Statmod

  • Referenced in 20 articles [sw07073]
  • limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • MIXNO: A computer program for mixed-effects nominal logistic regression. MIXNO provides maximum marginal likelihood ... estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis ... longitudinal design. For such data, the mixed-effects model assumes that data within clusters...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • MIXREG: a computer program for mixed-effects regression analysis with autocorrelated errors. MIXREG ... program that provides estimates for a mixed-effects regression model (MRM) for normally-distributed response ... analysis of clustered data, where the mixed-effects model assumes data within clusters are dependent...
  • SimpleMKL

  • Referenced in 66 articles [sw12290]
  • insight on MKL algorithms based on mixed-norm regularization by showing that the two approaches ... applied beyond binary classification, for problems like regression, clustering (one-class classification) or multiclass classification...
  • glmmAK

  • Referenced in 26 articles [sw13218]
  • Linear Mixed Models. This package implements maximum-likelihood estimation in the logistic regression with both ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified ... LESAFFRE, E. (2008). Generalized linear mixed model with a penalized Gaussian mixture as a random...
  • SuperMix

  • Referenced in 3 articles [sw24419]
  • SuperMix: A Program for Mixed-Effects Regression Models. SuperMix combines the functionality of four mixed ... single application to provide estimates for mixed-effects regression models. Mixed-effects models are also...