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de M Stasinopoulos · Citado por 423 — Using GAMLSS in R Additive terms [linear, smoothing and random effects] (practical). Model selection and Centile estimation (Practical). de TA Oliveira · 2020 · Citado por 1 — The Generalized Additive Models for Location, Scale, and Shape (GAMLSS) are a R: A Language and Environment for Statistical Computing. 24 de mai. de 2020 — PDF | The Generalized Additive Models for Location, Scale, and Shape (GAMLSS) are a recent class of models that further flexibilitythe de ACC Nunes — Semiparametric generalized additive model for ordinal response variables applied to epidemiology spatial data. Liciana Vaz de Arruda Silveira.de R Richman · 2021 · Citado por 8 — Deep learning, neural networks, generalized linear model, is a non-empty interval, with cumulant function κ : Θ → R and with de M Stasinopoulos · 2017 · Citado por 4 — Stasinopoulos and R. A. Rigby. Generalized additive models for location scale and shape. (GAMLSS) in R. Journal of Statistical Software, 23(7):1 de ÁCL Costa · 2022 — Generalized additive models for location, scale, and shape (GAMLSS) have proved version 2.13.1 (R Core Team, 2019) to adjust the models, and the gamlss. 1 de ago. de 2022 — The generalized additive models for location, scale and shape (GAMLSS) contains both parametric and semi-parametric models. de JCB da Silva · 2018 · Citado por 2 — In this study, Generalized Additive Models (GAM) was used associated to visreg (2017) [6] used generalized models associated with R package visreg to de C Sigauke · Citado por 21 — [8] developed generalised additive models for forecasting electricity demand. [24] and implemented in the R package “hierNet” [32].