\docType{data}
\name{chicks_data}
\alias{chicks_data}
\title{Data of growth of chicks}
\format{a \code{RangedData} instance, 1 row : strain ; id_animal ; time (day) ; liveweight (g).}
\source{
  Duval M., Robert-Granie C., Foulley J.-L. (2009)
  Estimation of heterogeneous variances in non linear mixed
  models via the SAEM algorithm with applications to growth
  curves in poultry. Journal de la Societe Francaise de
  Statistique, 150,65-83

  Donnet S., Foulley J.-L., Samson A. (2010) Bayesian
  analysis of growth curves using mixed models defined by
  stochastic differential equations. Biometrics 66, 733-741

  Jaffrezic F., Meza C., Foulley .J.-L., Lavielle M. (2006)
  The SAEM algorithm for the analysis of non linear traits
  in genetic studies. Genetics, Selection, Evolution,38,
  583-

  This dataset was used in a training session Biobayes
  (France, 2011) training session.

  Albert I., Ancelet S., David O., Denis J.B., Makowski D.,
  Parent E., Soubeyrand S. (2012) Methodes statistiques
  bayesiennes. Bases theoriques et applications en
  alimentation, environnement et genetique. FormaScience.
  Ecole-chercheurs INRA.
}
\description{
  This dataset content dynamic measurements of growth of
  chicks for different individuals and different strains.
  The data comes from a selection experiment on chicken
  initiated by F. Ricard Research Station on Poultry of
  INRA Nouzilly. The selection focuses on weight at 8 and
  36 weeks and allowed to differentiate the following five
  strains:

  strain 1 : X-+ (low at 8, but high at 36 weeks)

  strain 2 : X+- (high at 8, but low at 36 weeks)

  strain 3 : X++ (high weight at both ages)

  strain 4 : X- (low weight for both ages)

  strain 5 : X0 (control).

  This is a sub-sample of 50 females in the last generation
  of selection with weight data (in g) at 12 different ages
  to complete measurement (0, 4, 6, 8, 12, 16, 20, 24; 28,
  32, 36 and 40 weeks).
}
\keyword{datasets}

