Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani

Flexible Regression and Smoothing (eBook, PDF)

Using GAMLSS in R

• Format: PDF

Produktbeschreibung

This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 571
• Erscheinungstermin: 21. April 2017
• Englisch
• ISBN-13: 9781351980388
• Artikelnr.: 48210970

Autorenporträt

Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani

Inhaltsangabe

Part I Introduction to models and packages
Why GAMLSS?
Introduction to the gamlss packages
Part II The R implementation: algorithms and functions
The Algorithms
The gamlss() function
Methods for fitted gamlss objects
Part III Distributions
The gamlss.family of distributions
Finite mixture distributions
Part IV Additive terms
Linear parametric additive terms
Additive Smoothing Terms
Random effects
Part V Model selection and diagnostics
Model selection techniques
Diagnostics
Part VI Applications
Centile Estimation
Further Applications