trans2UFrechet | R Documentation |
Empirical and parametric transformation of a dataset to unit Frechet marginal distribution
trans2UFrechet(data, pars, type="Empirical")
data |
A vector of length |
pars |
A |
type |
A character string indicating the type of transformation. Can take value |
When type="Empirical"
, the transformation function is t(x)=-1/\log(F_{\textrm{emp}}(x))
where F_{\textrm{emp}}(x)
denotes the empirical cumulative distribution.
When type="GEV"
, the transformation function is \left(1+\xi \frac{x-\mu}{\sigma}\right)^{1/\xi}
if \xi \neq 0
, \left( \frac{x-\mu}{\sigma}\right)^{-1}
if \xi=0
. If the argument pars
is missing then a GEV is fitted on the columns of data
using the fGEV
function.
An object of the same format and dimensions as data
.
Simone Padoan, simone.padoan@unibocconi.it, https://faculty.unibocconi.it/simonepadoan/; Boris Beranger, borisberanger@gmail.com https://www.borisberanger.com;
trans2GEV
, fGEV
data(MilanPollution)
pars <- fGEV(Milan.winter$PM10)$est
pars
data_uf <- trans2UFrechet(data=Milan.winter$PM10, pars=pars,
type="GEV")
fGEV(data_uf)$est
data_uf2 <- trans2UFrechet(data=Milan.winter$PM10,
type="Empirical")
fGEV(data_uf2)$est
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