Generalized Additive Models for Location Scale and Shape (GAMLSS) in R

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Stasinopoulos, D. Mikis ; Rigby, Robert A. (2007)
  • Publisher: Foundation for Open Access Statistics
  • Journal: Journal of Statistical Software (issn: 1548-7660)
  • Related identifiers: doi: 10.18637/jss.v023.i07
  • Subject: penalized likelihood | negative binomial | cubic smoothing splines | Box-Cox transformation | HA1-4737 | skewness and kurtosis | LMS method | non-normal | non-parametric | overdispersion | centile estimation | Statistics

GAMLSS is a general framework for fitting regression type models where the distribution of the response variable does not have to belong to the exponential family and includes highly skew and kurtotic continuous and discrete distribution. GAMLSS allows all the parameter... View more
  • References (7)

    Royston P, Altman DG (1994). \Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling." Applied Statistics, 43, 429{467.

    Royston P, Wright EM (2000). \Goodness-of-Fit Statistics for Age-speci c Reference Intervals." Statistics in Medicine, 19, 2943{2962.

    Stasinopoulos DM, Rigby RA, Akantziliotou C (2006). \Instructions on How to Use the gamlss Package in R." Technical Report 01/06, STORM Research Centre, London Metropolitan University, London. URL

    van Buuren S, Fredriks M (2001). \Worm Plot: A Simple Diagnostic Device for Modelling Growth Reference Curves." Statistics in Medicine, 20, 1259{1277.

    Venables WN, Ripley BD (2002). Modern Applied Statistics with S. Springer-Verlag, 4th edition. ISBN 0-387-98825-4, URL

    Wade AM, Ades AE (1994). \Age-related Reference Ranges : Signi cance Tests for Models and Con dence Intervals for Centiles." Statistics in Medicine, 13, 2359{2367.

    Wilkinson GN, Rogers CE (1973). \Symbolic Description of Factorial Models for Analysis of Variance." Applied Statistics, 22, 392{399.

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