| infer.autocor.amount | R Documentation | 
special case of infer.dep.amount where there is only one station
infer.autocor.amount(
  P.mat,
  pr.state,
  isPeriod,
  nLag,
  th,
  parMargin,
  typeMargin,
  nChainFit,
  isMAR,
  isParallel
)
P.mat | 
 precipitation matrix  | 
pr.state | 
 probabilities of transitions for a Markov chain with lag   | 
isPeriod | 
 vector of logical n x 1 indicating the days concerned by a 3-month period  | 
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  | 
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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