"monte"
This is the class that contains the information about a basic repeated sampling (Monte Carlo) run. The class makes use of several other classes in the package that should be consulted for details. Also, the vignette referenced below is a good source of extended information and examples of how this class would be used.
Objects can be created by calls of the
form new("monte", ...)
. However, use of the constructor generic
"monte
" with methods for creating objects is
recommended. This is to be preferred over the use of new
since
the objects returned from the constructor are guaranteeted to be valid.
pop
:Object of class "montePop"
: A Monte Carlo population
object, please see '>montePop
for details.
%\item{\code{zeroTruncated}:}{Object of class \code{"logical"}: %\code{TRUE} if the population has been zero-truncated; \code{FALSE} %otherwise. This is mostly relevant for \code{\linkS4class{sampSurf} objects. }
estimate
:Object of class "character"
: In the
case of sampSurf
objects, this is the attribute for which
the surface has been estimated.
NTsamples
:Object of class
"monteNTSampleOrNULL"
: An object of class
'>monteNTSample
, or NULL
if non-existent. See the
constructor for details.
BSsamples
:Object of class
"monteBSSampleOrNULL"
: An object of class
'>monteBSSample
, or NULL
if non-existent. See the
constructor for details.
description
:Object of class "character"
: Some
descriptive text about the object.
signature(x = "monte")
: Generate a set of histograms.
signature(object = "monte")
: Print the object
summary succinctly.
signature(object = "monte")
: Print the object summary.
The ‘“monte”: When is n Sufficiently Large?’ vignette.
# NOT RUN {
showClass("monte")
# }
Run the code above in your browser using DataLab