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Three  books on GAMLSS are in preparation:

  1.  Flexible Regression and Smoothing: Using GAMLSS in R  (a very old draft version)
  2. Distributions for Location Scale and Shape,: Using  GAMLSS in R  (an old draft version under an different title)
  3.  Generalized Additive Models for Location Scale and Shape: A Distributional Regression Approach.
The GAMLSS R reference card

The gamlss packages reference card is available here

Manuals and Booklets from past short courses
  • The second edition of the manual of the gamlss package in pdf form. This is a good starting point covering most of the topics of the original gamlss package but it is now dated since was created in 2008.
  • The Journal of Statistical Software which has a brief introduction to GAMLSS and shows how the models can be used in practice.
  • Course notes from the Utrecht 2008 short course on GAMLSS. Course notes from the Lancaster 2009 short course. The notes for the Athens 2010 short course can be downloaded here (12 MB) .


GAMLSS articles

Below is a  list of papers  related to GAMLSS.  We have included papers in which at least one of the authors is a member of the GAMLSS team or papers which have a considerable GAMLSS related content. If any of your articles falls in any of those categories please let us know.

  • Hossain, A., Rigby, R., Stasinopoulos, M. and Enea, M (2016) Centile estimation for a proportion response variable. Statistics in Medicine, 35, No. 6, pp. 895-904.
  • De Bastiani, F., Rigby, R.A., Stasinopoulos, D.M. Audrey M., Cysneiros, A.H.M.A., Uribe-Opazo, M.A. (2016) Gaussian Markov random field in GAMLSS, Journal of Applied Statistics, doi:10.1080/02664763.2016.1269728, url:
  • Xu Y. Zh.,  Metris A., Stasinopoulos D.M.,  Forsythe S.J. and Sutherland  J.P.  (2015) Effect of heat shock and recovery temperature on variability of single cell lag time of Cronobacter turicensis.  Food Microbiology, 45, pp 195-204.
  • Antunes A. M., Maia J. A., Stasinopoulos M.D., Gouveia E. R., Thomis M. A., Lefevre J.  A. Teixeira A. Q. and Freitas D. L. (2015) Gross Motor Coordination and Weight Status of Portuguese Children Aged 6-14 Years. American Journal of Human Biology 27, No. 5, pp 681-689.
  • Hayes  D. J. , van Buuren S., ter Kuile F. O., Stasinopoulos D. M. ,Rigby R. A.and Terlouw D. J. (2015) Developing regional weight-for-age growth references for malaria-endemic countries to optimize age-based dosing of antimalarials. Bulletin of the World Health Organization, 93, pp 74-83.
  •  Voudouris, V., Matsumoto, K., Sedgwick, J., Rigby, R., Stasinopoulos, D. and Jefferson, M. (2014) Exploring the production of natural gas through the lenses of the ACEGES model. Energy Policy, 64, pp 124-133.
  • Rigby R. A. and  Stasinopoulos D. M. (2014) Automatic smoothing parameter selection in GAMLSS with an application to centile estimation. Statistical Methods in Medical Research. 23, No. 4  p 318.
  • Robbins, K.A., Guerrerio, A.L., Hauck, S.A., Henry, B.J., Keet, C.A., Brereton, N.H., Oh, S., Stasinopoulos, D.M. and Wood, R.A., (2014). Growth and nutrition in children with food allergy requiring amino acid-based nutritional formulas. Journal of Allergy and Clinical Immunology, 134, No. 6, p.1463.
  •  Rigby R. A., Stasinopoulos D.M. and Voudouris, V. (2013) Discussion: A comparison of GAMLSS with quantile regression. Statistical Modelling, 13, 335-348.
  • van Ogtrop, F. F., Vervoort, R. W., Heller, G. Z., Stasinopoulos, D. M., and Rigby, R. A. (2011) Long-range forecasting of intermittent streamflowHydrology and Earth System Sciences, 8, 681-713, 681-713.
  • Voudouris V., Gilchrist R., Rigby R., Sedgwick J. and Stasinopoulos D. (2011) Modelling skewness and kurtosis with the BCPE density in GAMLSS. Journal of Applied Statistics DOI:10.1080/02664763.2011.644530
  • Voudouris V, (2011) Towards a conceptual synthesis of dynamic and geospatial models: fusing the agent-based and Object – Field models, Environment and Planning B: Planning and Design, 38(1) 95 – 114
  • V. Voudouris, D. Stasinopoulos, R. Rigby, and C. Di Maio. The ACEGES laboratory for energy policy: Exploring the production of crude oil. Energy Policy, 39(9):5480-5489, 2011.
  • Guerrerio A. L., Mattis L., Conner, Kim G., Hampsey J., Stasinopoulos, M., DeJong, R., Boctor, E. M., Sheth S. Hamper, U. M., and. Scheimann A. O. (2011) Oral Choline Supplementation in Children With Intestinal Failure, Journal of Pediatric Gastroenterology and Nutrition 53 pp 115-119.
  • Wen L., Rogers K., Ling J. and Saintilan N. (2011). The impacts of river regulation and water division on the hydrological drought characteristics in the Lower Murrumbidgee River, Australia. Journal of Hydrology, 405, 382–391.
  • Djennad, A., Rigby, R., Stasinopoulos, D. and Voudouris, V. (2011), “Markov-Switching Multifractal Models within GAMLSS: Volatility of oil returns”. In Conesa, D., Forte, A., Lopez-Quilez, A and Munoz, F. (eds) Statistical Modelling (IWSM) 192-196.
  • Gilchrist, R., Rigby, R., Sedgwick, J., Stasinopoulos, D. and Voudouris, V. (2011) “Forecasting revenues using GAMLSS”. In Conesa, D., Forte, A., Lopez-Quilez, A and Munoz, F. (eds) Statistical Modelling (IWSM) 277-282.
  • Florencio, L., Cribari-Neto, F., & Ospina, R. (2011). Real estate appraisal of land lots using GAMLSS models. arXiv preprint arXiv:1102.2015.
  • Villarini, G., Smith, J. A., Napolitano, F., & Baeck, M. L. (2011). Hydrometeorological analysis of the December 2008 flood in Rome.Hydrological Sciences Journal56(7), 1150-1165.
  • Serinaldi, F., & Cuomo, G. (2011). Characterizing impulsive wave-in-deck loads on coastal bridges by probabilistic models of impact maxima and rise times.Coastal Engineering58(9), 908-926.
  • GALIANO, S. G. G., & OSORIO, J. D. G. (2011). Non-stationary analysis of spatial patterns of extreme rainfall events in West Africa. IAHS-AISH publication, 75-81.
  • Hao, L. I. U., & Lang-nan, C. H. E. N. (2011). Non-parametric and Non-linear Analysis of Stock Liquidity with High Frequency Data in China on GAMLSS Model. Journal of Shanxi Finance and Economics University4, 005.
  • Serinaldi, F. (2011). Distributional modeling and short-term forecasting of electricity prices by Generalized Additive Models for Location, Scale and Shape. Energy Economics33(6), 1216-1226.
  • Kiffner, C., Lödige, C., Alings, M., Vor, T., & Rühe, F. (2011). Body‐mass or sex‐biased tick parasitism in roe deer (Capreolus capreolus)? A GAMLSS approach. Medical and Veterinary Entomology25(1), 39-45.


  • Mario de Castro, Vicente G. Cancho, and Josemar Rodrigues. A hands-on approach for fitting long-term survival models under the gamlss framework. Comput. Methods Prog. Biomed., 97(2):168–177, 2010.
  • G. Rees, S. Bakhshi, A. Surujlal-Harry, M. Stasinopoulos, and A. Baker. A computerised tailored intervention for increasing intakes of fruit, vegetables, brown bread and wholegrain cereals in adolescent girls. Public health nutrition, 13:1271–1278, 2010.
  • Cohen D., Voss C., Taylor M., Stasinopoulos D. M., Delextrat A. and Sandercock G. (2010) Handgrip Strength in English schoolchildren, Acta Paediatrica, 99, pp 1060- 1064.
  • Muniz Terreta G., van den Hout A., Stasinopoulos D. M. and Rigby R. (2010) Modelling random effect using GAMLSS. 25th International Workshop on Statistical Modelling: Proceedings, University of Glasgow, pp 397-406.
  • Hudson, I. L., Kim, S. W., & Keatley, M. R. (2010). Climatic influences on the flowering phenology of four Eucalypts: a GAMLSS approach. Phenological Research, 209-228.
  • MacGillivray, F., Hudson, I. L., & Lowe, A. J. (2010). Herbarium collections and photographic images: alternative data sources for phenological research.Phenological Research, 425-461.
  • Hudson, I. L. (2010). Interdisciplinary approaches: towards new statistical methods for phenological studies. Climatic Change100(1), 143-171.
  • Villarini, G., Smith, J. A., & Napolitano, F. (2010). Nonstationary modeling of a long record of rainfall and temperature over Rome. Advances in Water Resources33(10), 1256-1267.
  • Katsanevakis, S., Issaris, Y., Poursanidis, D., & Thessalou-Legaki, M. (2010). Vulnerability of marine habitats to the invasive green alga< i> Caulerpa racemosa</i> var.< i> cylindracea</i> within a marine protected area. Marine environmental research70(2), 210-218.
  • Verschuren, O., Bloemen, M., Kruitwagen, C., & Takken, T. (2010). Reference values for anaerobic performance and agility in ambulatory children and adolescents with cerebral palsy. Developmental Medicine & Child Neurology,52(10), e222-e228.


  • van Buuren S., Hayes D. J., Stasinopoulos D. M., Rigby R. A., ter Kuile F. O., and Ter- louw D. J. (2009) Estimating regional centile curves from mixed data sources and countries. Statistics in Medicine, 28(23), 2891-2911.
  •  Cohen, D.D.,  Voss, C.,  Taylor,  M.J.D. , Stasinopoulos, D.M.,   Delextrat, A, and  Sandercock G.R.H. Handgrip strength in english schoolchildren. Acta Pædiatrica, 99:1065–72, Feb 2009.
  • Gillian Heller, Mikis Stasinopoulos, Bob Rigby and Floris F. van Ogtrop (2009) Randomly stopped sum models: a hydrological application. Proceedings of the 24th International Workshop on Statistical Modelling, Ithaca, USA.
  • Gilchrist, R., Kamara, A., & Rudge, J. (2009). AN INSURANCE TYPE MODEL FOR THE HEALTH COST OF COLD HOUSING: AN APPLICATION OF GAMLSS. REVSTAT–Statistical Journal7(1), 55-66.
  • Heller G., Stasinopoulos D. M. and Rigby R.A. (2007) Randomly stopped models, In the Proceedings of the 22th International Workshop on Statistical Modelling, ed: del Castillo J., Espinal A. and Puig P., pp 323-328, Barcelona, Spain.
  • Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS), In Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007.
  •  Cole. T.  Babies, bottles, breasts: is the who growth standard relevant? Significance, 4(1):6–10, 2007.
  • Rudge, J., & Gilchrist, R. (2007). Measuring the health impact of temperatures in dwellings: Investigating excess winter morbidity and cold homes in the London Borough of Newham. Energy and buildings39(7), 847-858.
  • Khondoker, Mizanur R., Chris A. Glasbey, and Bruce J. Worton. “A comparison of parametric and nonparametric methods for normalising cDNA microarray data.” Biometrical Journal 49.6 (2007): 815-823.


  • Rigby, R.A., Stasinopoulos, D.M. (2001) The GAMLSS project: a flexible approach to statistical modelling,  In  New Trends in Statistical Modelling: Proceedings of the 16th International Workshop on Statistical Modelling, eds B. Klein and L. Korsholm, pp 337-345, Odense, Denmark.

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