| NullDistribution-methods {coin} | R Documentation |
Methods for computation of the asymptotic, approximative (Monte Carlo) and exact reference distribution.
## S4 method for signature 'MaxTypeIndependenceTestStatistic'
AsymptNullDistribution(object, ...)
## S4 method for signature 'QuadTypeIndependenceTestStatistic'
AsymptNullDistribution(object, ...)
## S4 method for signature 'ScalarIndependenceTestStatistic'
AsymptNullDistribution(object, ...)
## S4 method for signature 'MaxTypeIndependenceTestStatistic'
ApproxNullDistribution(object, B = 10000, ...)
## S4 method for signature 'QuadTypeIndependenceTestStatistic'
ApproxNullDistribution(object, B = 10000, ...)
## S4 method for signature 'ScalarIndependenceTestStatistic'
ApproxNullDistribution(object, B = 10000, ...)
## S4 method for signature 'QuadTypeIndependenceTestStatistic'
ExactNullDistribution(object, algorithm = c("auto", "shift", "split-up"), ...)
## S4 method for signature 'ScalarIndependenceTestStatistic'
ExactNullDistribution(object, algorithm = c("auto", "shift", "split-up"), ...)
object |
an object from which the asymptotic, approximative (Monte Carlo) or exact reference distribution can be computed. |
B |
a positive integer, the number of Monte Carlo replicates used for the
computation of the approximative reference distribution. Defaults to
|
algorithm |
a character, the algorithm used for the computation of the exact reference
distribution: either |
... |
further arguments to be passed to or from methods. |
The methods AsymptNullDistribution, ApproxNullDistribution and
ExactNullDistribution compute the asymptotic, approximative (Monte
Carlo) and exact reference distribution respectively.
An object of class "AsymptNullDistribution",
"ApproxNullDistribution" or
"ExactNullDistribution".