MRCasymptoticDyadic: "Asymptotic" values of the MRC statistic (dyadic intervals)
In stepR: Multiscale Change-Point Inference
MRC.asymptotic.dyadic R Documentation
"Asymptotic" values of the MRC statistic (dyadic intervals)
Description
Simulated values of the MRC statistic with penalty="sqrt" based on dyadic interval lengths computed from Gaussian white noise sequences of ("almost infinite") length 100,000.
Deprecation warning: This data set is needed for smuceR and may be removed when this function will be removed.
Usage
MRC.asymptotic.dyadic
Format
A numeric vector containing 10,000 sorted values.
Examples
# "asymptotic" threshold value for 95% confidence
quantile(stepR::MRC.asymptotic.dyadic, .95)
stepR documentation built on Nov. 14, 2023, 1:09 a.m.
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| MRC.asymptotic.dyadic | R Documentation |
"Asymptotic" values of the MRC statistic (dyadic intervals)
Description
Simulated values of the MRC statistic with penalty="sqrt" based on dyadic interval lengths computed from Gaussian white noise sequences of ("almost infinite") length 100,000.
Deprecation warning: This data set is needed for smuceR and may be removed when this function will be removed.
Usage
MRC.asymptotic.dyadicFormat
A numeric vector containing 10,000 sorted values.
Examples
# "asymptotic" threshold value for 95% confidence
quantile(stepR::MRC.asymptotic.dyadic, .95)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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