Estimator {distrMod} | R Documentation |
Function to compute estimates
Description
The function Estimator
provides a general way to compute
estimates.
Usage
Estimator(x, estimator, name, Infos, asvar = NULL, nuis.idx,
trafo = NULL, fixed = NULL, asvar.fct, na.rm = TRUE, ...,
ParamFamily = NULL, .withEvalAsVar = TRUE)
Arguments
x |
(empirical) data |
estimator |
function: estimator to be evaluated on |
name |
optional name for estimator. |
Infos |
character: optional informations about estimator |
asvar |
optionally the asymptotic (co)variance of the estimator |
nuis.idx |
optionally the indices of the estimate belonging to nuisance parameter |
fixed |
optionally (numeric) the fixed part of the parameter |
trafo |
an object of class |
asvar.fct |
optionally: a function to determine the corresponding
asymptotic variance; if given, |
na.rm |
logical: if |
... |
further arguments to |
ParamFamily |
an optional object of class |
.withEvalAsVar |
logical: shall slot |
Details
The argument criterion
has to be a function with arguments the
empirical data as well as an object of class "Distribution"
and possibly ...
.
Value
An object of S4-class "Estimate"
.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
See Also
Examples
x <- rnorm(100)
Estimator(x, estimator = mean, name = "mean")
X <- matrix(rnorm(1000), nrow = 10)
Estimator(X, estimator = rowMeans, name = "mean")