alg2: Algorithm 2 (grid_search) for H+ Estimate
In fasthplus: Fast Label-Dissimilarity Discordance Estimation with H+
Description
Usage
Arguments
Value
Description
Estimates H+ for two sets (vectors) A and B, or
a dissimilarity matrix D and a label vector L.
Approximation is calculated using p+1 percentiles,
with an accuracy bound of 1/p.
Usage
1
alg2(qA, qB, p)
Arguments
qA
(vector, px1)
qB
(vector, px1)
Value
Estimated H+, un-standardized (numeric vector)
fasthplus documentation built on Feb. 7, 2022, 5:16 p.m.
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Description Usage Arguments Value
Description
Estimates H+ for two sets (vectors) A and B, or a dissimilarity matrix D and a label vector L. Approximation is calculated using p+1 percentiles, with an accuracy bound of 1/p.
Usage
1 | alg2(qA, qB, p)
|
Arguments
qA |
(vector, px1) |
qB |
(vector, px1) |
Value
Estimated H+, un-standardized (numeric vector)
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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