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