mmctestres-class: Class "mmctestres"

In simctest: Safe Implementation of Monte Carlo Tests

Description

Class which stores current result of type "mmctest".

Objects from the Class

Objects should not be created directly. Objects returned by calls of the form new("mmctest", ...) are of type mmctestres.

Slots

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"

Methods

mainalg

signature(obj = "mmctestres", stopcrit = "numeric"): ...

cont

signature(data = "mmctestres", steps = "numeric"): ...

show

signature(object = "mmctestres"): ...

pEstimate

signature(obj = "mmctestres"): ...

rejProb

signature(obj = "mmctestres"): ...

confidenceLimits

signature(obj = "mmctestres"): ...

testResult

signature(obj = "mmctestres"): ...

summary.mmctestres

signature(object = "mmctestres"): ...

Author(s)

Axel Gandy and Georg Hahn

References

Gandy, A. and Hahn, G. (2014) MMCTest - a safe algorithm for implementing multiple Monte Carlo tests. Scandinavian Journal of Statistics, 41(4):1083–1101

Examples

  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

simctest documentation built on Nov. 4, 2019, 5:08 p.m.