generalized linear mixed effectsnonlinear mixed effectsThis chapter discusses the use of mixed-effects models for the analysis of pharmacokinetic (PK) and pharmacodynamic (PD) data in the form of longitudinal and/or multilevel hierarchical structures. Simulated PK and PD data are used to illustrate ...
In order to simulate wave field generated by random sources and provide theoretic reference for research and application of microtremor, microtremor is simulated using staggered-grid finite difference method. The composition of surface waves in the simulated microtremor is estimated based on the distributi...
Title Bayesian Linear Mixed-Effects Models Depends R(>=3.0-0),lme4(>=1.0-6)Imports methods,stats,utils Suggests expint(>=0.1-3),testthat Description Maximum a posteriori estimation for linear and generalized linear mixed-effects mod-els in a Bayesian setting,implementing the meth- ods of ...
The lme4 package for R provides functions to fit and analyze linear mixed models, generalized linear mixed models and nonlinear mixed models. In each of these names, the term “mixed” or, more fully, “mixed effects”, denotes a model that incorporates both fixed- and random- ...
1.1-7: Linear mixed-effects models using Eigen and S4. Software application. 22 23 Benua, L. (1997). Transderivational identity: ... D Bates,M Maechler,B Bolker,... 被引量: 0发表: 2016年 Nonlinear Mixed-Effects Modeling Programs in R (linear and nonlinear mixed-effects model), nlme...
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a ...
Pharmacokinetic/pharmacodynamic modelling is most often performed using non-linear mixed-effects models based on ordinary differential equations with uncorrelated intra-individual residuals. More sophisticated residual error models as e.g. stochastic differential equations (SDEs) with measurement noise can in...
结果表明,一般混合效应模型和默顿跳跃扩散模型的PCG采样大大提高了相应Gibbs采样器的收敛性。 相关推荐: _线性混合效应_模型Linear Mixed-Effects Models的部分.. R语言 _线性混合效应_模型实战案例 基于R语言的lmer_混合线性_回归模型
• Brown, V. A. (2021). An introduction to linear mixed-effects modeling in R.Advances in Methods and Practices in Psychological Science, 4(1), 1, 1–19.https://doi.org/10.1177/2515245920960351 • DeBruine, L. M., & Barr, D. J. (2021). Understanding mixed-effects models through...
linear and nonlinear mixed effects models with censored response (NLMEC/LMEC) based on the multivariate Student-t distribution, being a flexible alternative ... LA Matos,MO Prates,Ming-Hui Chen,... - 《Statistica Sinica》 被引量: 64发表: 2013年 加载更多研究...