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\name{entry_growth}
\alias{entry_growth}
\title{
A function to estimate the parameters of the growth model for each species in the data-set.
}
\description{ A function to estimate the parameters of the growth model
for each species in the data-set. The function prints summaries and
plots diagnostic graphics. }
\usage{entry_growth(data_growth, burnin=1000, mcmc=1000, thin=1, th.sign=5)}
\arguments{
\item{data_growth}{
data frame which must have the following column names: | Tree | Sp | D_t | C_t | G_tp1 |
}
\item{burnin}{The number of burnin iterations for the sampler.}
\item{mcmc}{The number of Gibbs iterations for the sampler. Total
number of Gibbs iterations is equal to
\code{burnin+mcmc}. \code{burnin+mcmc} must be divisible by 10 and
superior or equal to 100 so that the progress bar can be displayed.}
\item{thin}{The thinning interval used in the simulation. The number of
mcmc iterations must be divisible by this value.}
\item{th.sign}{Threshold (in \%) used to test parameter significance:
is zero included in the interval defined by the threshold? Default
to 5.}
}
\value{
The function prints summaries and plots diagnostic graphics.
}
\author{
Ghislain Vieilledent <ghislain.vieilledent@cirad.fr>
}
\keyword{Gibbs sampler}