GAMLSS: A distributional regression approach

Who It's For: Anyone, with a strong foundation in GLM and GAM, who is interested in modelling more than just the location of the mean by including parameters like the spread and shape of a distribution

Why We Love It:The authors describe the conditions in which simpler models such as GLM and GAM are unsuitable to illustrate how GAMLSS offer a practical solution. There are figures throughout to illustrate concepts such as model fit

Citation: Stasinopoulos, Dimitrios, Rigby, Robert A. and De Bastiani, Fernanda (2018) GAMLSS: a distributional regression approach.Statistical Modelling, 18 (3-4). pp. 248-273. ISSN 1477-0342