
nlme
 Referenced in 143 articles
[sw04481]
 package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear...

NONMEM
 Referenced in 36 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 68 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 mixedeffect models, and spatial models for count data...

tlmec
 Referenced in 14 articles
[sw11119]
 response using the multivariatet distribution. Mixedeffects 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...

qrNLMM
 Referenced in 2 articles
[sw15130]
 qrNLMM: Quantile Regression for Nonlinear MixedEffects Models. Quantile regression (QR) for Nonlinear MixedEffects...

npde
 Referenced in 2 articles
[sw25142]
 prediction distribution errors to evaluate nonlinear mixedeffect models: The npde addon package ... data are often analysed using nonlinear mixedeffect 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 firstorder...

PopED
 Referenced in 2 articles
[sw18182]
 individual studies based on nonlinear mixedeffect models. Often this is based on a computation...

lmeSplines
 Referenced in 1 article
[sw08184]
 terms in Gaussian linear and nonlinear mixedeffects models...

mixlow
 Referenced in 1 article
[sw25280]
 MixLow method is that the nonlinear mixedeffects 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 nonGaussian 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...

RBFOpt
 Referenced in 7 articles
[sw28416]
 oracle, and the introduction of an automatic model selection phase during the optimization process. Numerical ... test set of continuous and mixedinteger nonlinear unconstrained problems taken from the literature ... parameterizations of the algorithm are the most effective in practice. The software reviewed as part...

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

LimeTr
 Referenced in 1 article
[sw41754]
 effects models: formulations and algorithms. Mixed effects (ME) models inform a vast array of problems ... metaanalysis. We consider ME models where the random effects component is linear. We then ... broad problem class that allows nonlinear measurements, priors, and constraints, and finds robust estimates...

SUSPECT
 Referenced in 1 article
[sw33156]
 symbolically analyzes mixedinteger 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...