"MonteCarloSampling"This is a virtual base class for apply Monte Carlo subsampling methods within a “downLog” or “standingTree” object. See below for subclasses based on the supported sampling methods.
A virtual Class: No objects may be created from it.
stem:Object of class "Stem": This can be
either a '>downLog or
'>standingTree subclass object.
segBnds:Object of class "numeric": A vector of
length two giving the lower and upper height/length bounds for
volume estimation within the bole. All of the following slot
definitions below are relative to the segment of the bole defined
by these bounds. These bounds correspond to the limits of
integration along the bole.
n.s:Object of class "numeric": The number of
Monte Carlo samples (a scalar).
startSeed:Object of class "numeric": The
scalar seed for the random number generator used in the call to
the class constructor. Please see the documentation in
initRandomSeed for possible values and their
meaning. Suffice it to say that storing this in the object allows
for object replication. Note that if startSeed = NA, then
the seed is not replicable, but the sampling run is by using the
random numbers in the u.s slot.
u.s:Object of class "numeric": The uniform
random numbers used in selecting the sampling points along
the bole.
description:Object of class "character": A
description of the object if desired (defaults are given for each
class).
userArgs:Object of class "list": Some proxy
functions have extra arguments that are required when called from
the constructor methods. This slot stores these arguments and
their values from the call. This is necessary, e.g., for
re-applying a given Monte Carlo method to the (1-u.s) points in
antithetic sampling.
signature(object =
"MonteCarloSampling"): Allows for antithetic sampling given a
subclass object.
signature(object = "MonteCarloSampling"): For
printing the subclass object.
signature(object = "MonteCarloSampling"): A
printed summary of the subclass object.
Gove, J. H. 2013. Monte Carlo sampling methods in sampSurf. Package vignette.
The following subclasses and related:
'>crudeMonteCarlo,
'>importanceSampling,
'>controlVariate,
'>antitheticSampling.
# NOT RUN {
showClass("MonteCarloSampling")
# }
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