mmctestres-class {simctest} | R Documentation |
Class which stores current result of type "mmctest".
Objects should not be created directly.
Objects returned by calls of the form new("mmctest", ...)
are of type mmctestres.
internal
:Object of class "environment"
epsilon
:Object of class "numeric"
threshold
:Object of class "numeric"
r
:Object of class "numeric"
R
:Object of class "numeric"
h
:Object of class "function"
gensample
:Object of class "mmctSamplerGeneric"
g
:Object of class "numeric"
num
:Object of class "numeric"
A
:Object of class "numeric"
B
:Object of class "numeric"
C
:Object of class "numeric"
thompson
:Object of class "logical"
rejprob
:Object of class "logical"
signature(obj = "mmctestres", stopcrit = "numeric")
: ...
signature(data = "mmctestres", steps = "numeric")
: ...
signature(object = "mmctestres")
: ...
signature(obj = "mmctestres")
: ...
signature(obj = "mmctestres")
: ...
signature(obj = "mmctestres")
: ...
signature(obj = "mmctestres")
: ...
signature(object = "mmctestres")
: ...
Axel Gandy and Georg Hahn
Gandy, A. and Hahn, G. (2013) MMCTest - A Safe Algorithm for Implementing Multiple Monte Carlo Tests. arXiv:1209.3963
fun <- function(ind,n,data) sapply(1:length(ind), function(i) sum(runif(n[i])<=data[ind[i]])); i <- mmctSampler(fun,num=500,data=runif(500)); a <- mmctest(h=hBH); a <- run(a, i, maxsteps=list(maxnum=1000000,undecided=10)); # a is object of type "mmctestres" now