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
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