• NONMEM

  • Referenced in 33 articles [sw08344]
  • NONMEM® is a nonlinear mixed effects modelling tool used in population pharmacokinetic/pharmacodynamic analysis. NONMEM stands ... NONlinear Mixed Effects Modeling. NONMEM is a computer program that is implemented in Fortran90/95...
  • glmmAK

  • Referenced in 24 articles [sw13218]
  • Package glmmAK: Generalized Linear Mixed Models. This package implements maximum-likelihood estimation in the logistic ... 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...
  • faraway

  • Referenced in 22 articles [sw04357]
  • Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. Linear ... extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models ... that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural...
  • SCIP

  • Referenced in 434 articles [sw01091]
  • solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). It is also ... also contains the LP solver SoPlex, the modelling language ZIMPL, the parallelization framework...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • augmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals ... logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models for count data...
  • GLLAMM

  • Referenced in 28 articles [sw06517]
  • estimates GLLAMMs (Generalized Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after...
  • ordinal

  • Referenced in 19 articles [sw12561]
  • Ordinal Data. Implementation of cumulative link (mixed) models also known as ordered regression models, proportional ... Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation...
  • WWGbook

  • Referenced in 25 articles [sw12240]
  • datasets for WWGbook. Book is ”Linear Mixed Models: A Practical Guide Using Statistical Software” published...
  • ASReml

  • Referenced in 25 articles [sw11300]
  • statistical package that fits linear mixed models using Residual Maximum Likelihood (REML...
  • lcmm

  • Referenced in 13 articles [sw13207]
  • package lcmm: Extended Mixed Models Using Latent Classes and Latent Processes: Estimation of various extensions ... mixed models including latent class mixed models, joint latent latent class mixed models and mixed...
  • saery

  • Referenced in 24 articles [sw11943]
  • Small Area Estimation for Rao and Yu Model. A complete set of functions to calculate ... based on an area-level linear mixed model introduced...
  • IFISS

  • Referenced in 225 articles [sw04398]
  • Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow. IFISS is a graphical Matlab ... problems. It includes algorithms for discretization by mixed finite element methods and a posteriori error ... equation systems that arise in incompressible flow modelling. A unique feature of the package...
  • Refprop

  • Referenced in 34 articles [sw24947]
  • model. Mixture calculations employ a model that applies mixing rules to the Helmholtz energy ... departure from ideal mixing. Viscosity and thermal conductivity are modeled with either fluid-specific correlations...
  • CHARMM

  • Referenced in 112 articles [sw05953]
  • CHARMM models the dynamics and mechanics of macromolecular systems using empirical and mixed empirical/quantum mechanical...
  • Gurobi

  • Referenced in 470 articles [sw04105]
  • mixed-integer quadratic programming solver (MIQP), and mixed-integer quadratically constrained programming solver (MIQCP ... range of interfaces, access to industry-standard modeling languages, flexible licensing together with transparent pricing...
  • MIXOR

  • Referenced in 23 articles [sw08990]
  • 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 ... dependency is jointly estimated with the usual model parameters, thus adjusting for dependence resulting from ... data. Similarly, for longitudinal data, the mixed-effects approach can allow for individual-varying intercepts...
  • Latent GOLD

  • Referenced in 90 articles [sw11673]
  • others. FM models seek to separate out or ’un-mix’ data that is assumed...
  • bfa

  • Referenced in 20 articles [sw07430]
  • package bfa Bayesian Gaussian copula factor models for mixed data. Gaussian factor models have proven ... mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models...
  • ANTBAL

  • Referenced in 11 articles [sw02549]
  • colony optimization algorithm for balancing mixed-model assembly lines. The proposed algorithm accounts for zoning ... aspect to account for in balancing mixed-model assembly lines. Computational experience shows the superior...
  • tlmec

  • Referenced in 11 articles [sw11119]
  • Likelihood-based inference for mixed-effects models with censored response using the multivariate-t distribution ... Mixed-effects models are commonly used to fit longitudinal or repeated measures data. A complication ... based inference for linear and nonlinear mixed effects models with censored response (NLMEC/LMEC) based...