GAMM是一种灵活而强大的统计建模方法,它结合了广义可加模型(Generalized Additive Model, GAM)和混合效应模型(Mixed Effects Model)。通过引入非线性平滑函数和随机效应,GAMM能够更准确地描述变量之间的复杂关系,并考虑到数据中可能存在的随机变异。 本文将详细介绍GAMM的理论基础、模型框架和参数估计方法。同时,我们还将...
called mixed effects models) would be more appropriate. In the present study, observations were collected from the same individuals over time. It is reasonable to assume that correlations exist among the observations from the same individual, so we utilized generalized additive mixed models (GAMM...
In this paper, we model river discharge data from the Black VoltaRiver, using Generalised Additive Mixed Models (GAMMs) with a space-timeinteraction represented via a tensor product of continuous time and discretespace. River discharge data from January 2000 to December 2009 for the fourgauge ...
existamongtheobservationsfromthesameindividual,soweutilizedgeneralizedadditive mixedmodels(GAMM)toinvestigatetheeffectsofcovariatesonmovementprobabilities.All themodelshadtheprobabilityofinter-islandmovementobtainedfromtheBBMMasthe dependentterm,variouscovariates(SST,Month,Chlorophyllconcentration,maturitystage,and ...
data-science machine-learning statistics regression statistical-models generalized-additive-models Updated Aug 5, 2024 Julia LCBC-UiO / galamm Star 27 Code Issues Pull requests An R package for estimating generalized additive mixed models with latent variables latent-variable-models hierarchical-mode...
GAMM: Generalized additive mixed models GLMM: Generalized linear mixed model MACP: Mean average coverage probability MASE: Mean average squared error MCMC: Markov chain Monte Carlo REML: Restricted maximum likelihood SGA: Small for gestational age ...
In this study, we present generalized additive mixed model (GAMM) specifications in which cluster-specific functional relationships between covariates and outcomes can be modeled using by-variable smooth functions. In addition, the implementation for GAMM specifications is explained using the mgcv R ...
The work allows the modeller to employ whatever penalized smoother they believe to be most appropriate in any particular GAMM modelling situation, to incorporate multivariate smoothers in an entirely straightforward manner and to reliably employ standard mixed modelling software for model estimation. The ...
Hence, the objective of this study was to investigate factors associated with TTL on market-weight pigs in typically field conditions for Midwestern United States using a generalized additive mixed model (GAMM). The final quasi-binomial GAMM included the fixed (main and interactions) effects of ...
In this paper, we model river discharge data from the Black Volta River, using Generalised Additive Mixed Models (GAMMs) with a space-time interaction represented via a tensor product of continuous time and discrete space. River discharge data from January 2000 to December 2009 for the four ...