critical_values_HD: Critical Values of Self-Normalization (SN) based test...
In SNSeg: Self-Normalization(SN) Based Change-Point Estimation for Time Series
critical_values_HD R Documentation
Critical Values of Self-Normalization (SN) based test statistic for changes
in high-dimensional means (SNHD)
Description
A dataset containing the critical value of SN-based change point estimates
based on changes in high-dimensional means.
Usage
critical_values_HD
Format
A data frame with 6 variables:
epsilonvalue used to compute grid_size_scale and SN-based
test statistic
0.9critical value at confidence level 0.9
0.95critical value at confidence level 0.95
0.99critical value at confidence level 0.99
0.995critical value at confidence level 0.995
0.999critical value at confidence level 0.999
SNSeg documentation built on June 22, 2024, 10:50 a.m.
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| critical_values_HD | R Documentation |
Critical Values of Self-Normalization (SN) based test statistic for changes in high-dimensional means (SNHD)
Description
A dataset containing the critical value of SN-based change point estimates based on changes in high-dimensional means.
Usage
critical_values_HD
Format
A data frame with 6 variables:
epsilonvalue used to compute grid_size_scale and SN-based test statistic
0.9critical value at confidence level
0.90.95critical value at confidence level
0.950.99critical value at confidence level
0.990.995critical value at confidence level
0.9950.999critical value at confidence level
0.999
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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