These functions are used internally by function LDEstimator
in package ``distrMod''.
.prepend(prep, list0, dots = NULL)
.LDMatch(x.0, loc.est.0, disp.est.0, loc.fctal.0, disp.fctal.0,
ParamFamily.0, loc.est.ctrl.0 = NULL, loc.fctal.ctrl.0=NULL,
disp.est.ctrl.0 = NULL, disp.fctal.ctrl.0=NULL,
q.lo.0 =0, q.up.0=Inf, log.q.0 =TRUE, ..., vdbg = FALSE)a vector; to be prepended as first argument in
a function; named x internally.
a list to be appended to prep; names are taken over.
an optional list (or NULL) to be appended to prep
and list0; names are taken over.
a vector (numeric) at which to evaluate the LD-match
a function expecting x (a numeric vector)
as first argument; location estimator.
a function expecting x (a numeric vector)
as first argument; dispersion estimator; may only take
non-negative values.
a function expecting a distribution object as first argument; location functional.
a function expecting a distribution object as first argument; dispersion functional; may only take non-negative values.
a list (or NULL); optional additional arguments
for the location estimator.
a list (or NULL); optional additional arguments
for the dispersion estimator.
a list (or NULL); optional additional arguments
for the location functional.
a list (or NULL); optional additional arguments
for the dispersion functional.
an object of class "ParamFamily". The parametric
family at which to evaluate the LDEstimator; the respective
(main) parameter must contain "scale"
and "shape".
numeric; lower bound for search intervall in shape parameter.
numeric; upper bound for search intervall in shape parameter.
logical; shall the zero search be done on log-scale?
further arguments to be passed to location estimator and functional and dispersion estimator and functional.
logical; if TRUE, debugging information is shown.
a named list to be used as arguments in a call.
a named vector with components "shape" and "scale".
.prepend is used to produce the argument list for the calls to
estimators and functionals. This argument list consists of prep (first
argument), named x internally, the items of list0 and, if
non-NULL, the items of ….
.LDMatch performs the matching of location and dispersion functional
against empirical values (without any S4-structure).