Generalized Additive Mixed Modeling (GAMM)是一种灵活且广泛应用于统计建模的方法。它结合了广义可加模型(Generalized Additive Models,GAM)和混合效应模型(Mixed Effects Models)的优势,能够处理复杂、非线性和非正态数据的建模问题。 在GAMM中,我们考虑了两个核心组成部分:广义可加模型和混合效应模型。广义可加模型通...
Generalized Additive Models:广义加性模型 热度: GeneralizedAdditiveMixedModels Initialdata-exploratoryanalysisusingscatterplotsindicatedanonlineardependenceoftheresponseonpredictorvariables.Toovercomethesedifficulties,HastieandTibshirani(1990)proposedgeneralizedadditivemodels(GAMs).GAMsareextensionsofgeneralizedlinearmodels(GLMs...
(2015). In addition, Winter and Wieling (2016) take a hands-on approach to discuss various statistical approaches, including mixed-effects regression, growth curve analysis and generalized additive modeling, to model linguistic change. The present paper differs from Winter and Wieling (2016) by ...
This directory contains supplementary code to the paper "Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models". The actual data cannot be shared due to privacy, so we have instead created simulated datasets resembling the actual data, for which all ...
R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors. - fabian-s/spikeSlabGAM
Generalized Additive Mixed Models Initial data-exploratory analysis using scatter plots indicated a non linear dependence of the response on predictor variables. To overcome these difficulties, Hastie and Tibshirani (1990) proposed generalized additive models (GAMs). GAMs are extensions of generalized ...