estimate parameters which control the spatial dependence between intensities using a copula
infer.dep.amount(
P.mat,
isPeriod,
infer.mat.omega.out,
nLag,
th,
parMargin,
typeMargin,
nChainFit,
isMAR,
copulaInt,
isParallel
)
list of estimates (e.g., M0, dfStudent)
precipitation matrix
vector of logical n x 1 indicating the days concerned by a 3-month period
output of infer.mat.omega
order of he Markov chain for the transitions between dry and wet states (=2 by default)
threshold above which we consider that a day is wet (e.g. 0.2 mm)
parameters of the margins 2 x 3
'EGPD' (Extended GPD) or 'mixExp' (Mixture of Exponentials). 'EGPD' by default
integer, length of the runs used during the fitting procedure. =100000 by default
logical value, do we apply a Autoregressive Multivariate Autoregressive model (order 1) =TRUE by default
'Gaussian' or 'Student': type of dependence for amounts (='Student' by default)
logical: indicate computation in parallel or not (easier for debugging)
Guillaume Evin