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Rpackages
IDF
Commits
3994dcb6
Commit
3994dcb6
authored
Feb 05, 2019
by
Jana Ulrich
Browse files
added example for fit with covariates
parent
99a34ee6
Changes
3
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Inline
Side-by-side
R/IDF.R
View file @
3994dcb6
...
...
@@ -333,6 +333,20 @@ IDF.nll <- function(mu=0,sigma=1,xi=0,theta=0,eta=1,x,d,use.log=F,DEBUG=F) {
#' @seealso \code{\link{IDF.agg}}, \code{\link{gev.fit}}, \code{\link{optim}}
#' @author Jana Ulrich \email{jana.ulrich@@met.fu-berlin.de}
#' @export
#'
#' @examples
#' # sampled random data from d-gev with covariates
#' # GEV parameters:
#' # mu = 4 + 0.2*cov1 +0.5*cov2
#' # sigma = 2+0.5*cov1
#' # xi = 0.5
#' # theta = 0
#' # eta = 0.5
#'
#' data('example',package ='IDF')
#'
#' gev.d.fit(xdat=example$dat,ds = example$d,ydat=as.matrix(example[,c('cov1','cov2')])
#' ,mul=c(1,2),sigl=1)
'gev.d.fit'
<-
function
(
xdat
,
ds
,
ydat
=
NULL
,
mul
=
NULL
,
sigl
=
NULL
,
shl
=
NULL
,
thetal
=
NULL
,
etal
=
NULL
,
...
...
@@ -429,7 +443,7 @@ IDF.nll <- function(mu=0,sigma=1,xi=0,theta=0,eta=1,x,d,use.log=F,DEBUG=F) {
y
<-
xdat
/
sigma.d
-
mu
y
<-
1
+
xi
*
y
if
(
any
(
eta
<=
0
)
||
any
(
ds.t
<=
0
)
||
any
(
sigma.d
<=
0
)
||
any
(
y
<=
0
))
return
(
10
^
6
)
if
(
any
(
eta
<=
0
)
||
any
(
theta
<=
-0.5
)
||
any
(
sigma.d
<=
0
)
||
any
(
y
<=
0
))
return
(
10
^
6
)
sum
(
log
(
sigma.d
))
+
sum
(
y
^
(
-1
/
xi
))
+
sum
(
log
(
y
)
*
(
1
/
xi
+
1
))
}
...
...
data/example.RData
0 → 100644
View file @
3994dcb6
File added
man/gev.d.fit.Rd
View file @
3994dcb6
...
...
@@ -8,7 +8,7 @@ gev.d.fit(xdat, ds, ydat = NULL, mul = NULL, sigl = NULL,
shl = NULL, thetal = NULL, etal = NULL, mulink = identity,
siglink = identity, shlink = identity, thetalink = identity,
etalink = identity, muinit = NULL, siginit = NULL, shinit = NULL,
thetainit =
0
, etainit = NULL, show = TRUE,
thetainit =
NULL
, etainit = NULL, show = TRUE,
method = "Nelder-Mead", maxit = 10000, ...)
}
\arguments{
...
...
@@ -60,6 +60,20 @@ Maximum-likelihood fitting for the duration dependent generalized extreme
value distribution, following Koutsoyiannis et al. (1988), including generalized linear
modelling of each parameter based on \code{\link{gev.fit}}.
}
\examples{
# sampled random data from d-gev with covariates
# GEV parameters:
# mu = 4 + 0.2*cov1 +0.5*cov2
# sigma = 2+0.5*cov1
# xi = 0.5
# theta = 0
# eta = 0.5
data('example',package ='IDF')
gev.d.fit(xdat=example$dat,ds = example$d,ydat=as.matrix(example[,c('cov1','cov2')])
,mul=c(1,2),sigl=1)
}
\seealso{
\code{\link{IDF.agg}}, \code{\link{gev.fit}}, \code{\link{optim}}
}
...
...
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