ts_variance: Calculate Variance of Sen's Test Statistic
In Florian-Katerndahl/simpleRank: Implementation Mann-Kendall Test and Theil-Sen Approach
Description
Usage
Arguments
Details
See Also
Description
Calculates variance Sen's Test Statistic Z.
Usage
1
ts_variance(n, u = rep(1, length.out = n))
Arguments
n
A numeric. Length of the ranking.
u
Contingency table of ranks in one ranking.
Will be coerced to numeric vector.
Details
This is equivalent to the calculation of the
variance Kendall's test statistic, accounting for
duplicates in only one of the rankings:
σ^{2}_{S} = \frac{n(n-1)(2n+5) \times ∑_{t \in g_{e}}t(t-1)(2t+5)}{18}
See Also
Florian-Katerndahl/simpleRank documentation built on Dec. 17, 2021, 8:28 p.m.
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Description Usage Arguments Details See Also
Description
Calculates variance Sen's Test Statistic Z.
Usage
1 | ts_variance(n, u = rep(1, length.out = n))
|
Arguments
n |
A numeric. Length of the ranking. |
u |
Contingency table of ranks in one ranking. Will be coerced to numeric vector. |
Details
This is equivalent to the calculation of the variance Kendall's test statistic, accounting for duplicates in only one of the rankings:
σ^{2}_{S} = \frac{n(n-1)(2n+5) \times ∑_{t \in g_{e}}t(t-1)(2t+5)}{18}
See Also
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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