Flexible Regression and Smoothing: Using GAMLSS in R

ISBN-13: 9780367658069 / Angielski / Miękka / 2020 / 572 str.

Mikis D. Stasinopoulos; Robert A. Rigby; Gillian Z. Heller

Opis

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.

Spis treści

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

O autorze

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