• nlme

  • Referenced in 127 articles [sw04481]
  • package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear...
  • NONMEM

  • Referenced in 35 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...
  • PROC NLMIXED

  • Referenced in 65 articles [sw11039]
  • fits nonlinear mixed models—that is, models in which both fixed and random effects enter ... nonlinearly. These models have a wide variety of applications, two of the most common being ... distribution for your data (given the random effects) having either a standard form (normal, binomial ... nonlinear mixed models by maximizing an approximation to the likelihood integrated over the random effects...
  • 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...
  • tlmec

  • Referenced in 11 articles [sw11119]
  • response using the multivariate-t distribution. Mixed-effects models are commonly used to fit longitudinal ... normal distributions are commonly assumed for random effects and residual errors, such assumptions make inferences ... need for heavy tailed distributions for random effects and residual errors motivate us to develop ... based inference for linear and nonlinear mixed effects models with censored response (NLMEC/LMEC) based...
  • PFIM

  • Referenced in 3 articles [sw07012]
  • their allocation in time) for nonlinear mixed effects models (population approach). This function is based...
  • npde

  • Referenced in 2 articles [sw25142]
  • prediction distribution errors to evaluate nonlinear mixed-effect models: The npde add-on package ... data are often analysed using nonlinear mixed-effect models, and model evaluation should...
  • NLMEModeling

  • Referenced in 1 article [sw35987]
  • Wolfram Mathematica Package for Nonlinear Mixed Effects Modeling of Dynamical Systems. Nonlinear mixed effects modeling...
  • PkStaMp

  • Referenced in 2 articles [sw06760]
  • optimal design theory for nonlinear mixed effects models and, in particular, on the first-order...
  • qrNLMM

  • Referenced in 1 article [sw15130]
  • qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models. Quantile regression (QR) for Nonlinear Mixed-Effects...
  • PopED

  • Referenced in 2 articles [sw18182]
  • individual studies based on nonlinear mixed-effect models. Often this is based on a computation...
  • lmeSplines

  • Referenced in 1 article [sw08184]
  • terms in Gaussian linear and nonlinear mixed-effects models...
  • mixlow

  • Referenced in 1 article [sw25280]
  • MixLow method is that the nonlinear mixed-effects model used to estimate parameters of concentration...
  • nonmemica

  • Referenced in 0 articles [sw19707]
  • package nonmemica. Create and Evaluate NONMEM Models in a Project Context. Systematically creates and modifies ... www.iconplc.com/ >) is software for nonlinear mixed effects modeling. See ’package?nonmemica...
  • SNP_NLMM

  • Referenced in 1 article [sw37305]
  • Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models. Generalized linear and nonlinear ... mixed models (GLMMs and NLMMs) are commonly used to represent non-Gaussian or nonlinear longitudinal ... common assumption is that the random effects are Gaussian. However, this assumption may be unrealistic...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • Carroll (2006). The method extends linear mixed models to functional data consisting of n curves ... description of the model by the design matrix X and random effects matrix ... random effects functions that have been adaptively regularized as a result of the nonlinear shrinkage...
  • MOSSFARM

  • Referenced in 2 articles [sw02750]
  • Effective methods for feature and model structure selection are very important for data-driven modeling ... selecting important variables (regressors) in nonlinear (dynamic) models with mixed discrete (categorical, fuzzy) and continuous...
  • RBFOpt

  • Referenced in 4 articles [sw28416]
  • oracle, and the introduction of an automatic model selection phase during the optimization process. Numerical ... test set of continuous and mixed-integer nonlinear unconstrained problems taken from the literature ... parameterizations of the algorithm are the most effective in practice. The software reviewed as part...
  • SUSPECT

  • Referenced in 1 article [sw33156]
  • symbolically analyzes mixed-integer nonlinear optimization problems formulated using the Python algebraic modeling library Pyomo ... balance the need for lightweight computation with effective special structure detection. SUSPECT can be used...
  • HBGC123D

  • Referenced in 1 article [sw13445]
  • development of more effective remediation techniques and complex models of coupled hydrogeological and biogeochemical processes ... high-performance computer model of the coupled processes, HBGC123D. The model uses a hybrid Eulerian ... method to solve the system of nonlinear, mixed kinetics and equilibrium reaction equations. Application...