var_k: Exact variance of k-sample test
In QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances
var_k R Documentation
Exact variance of k-sample test
Description
Compute the exact variance of kernel test for the k-sample problem under
the null hypothesis that F1=...=Fk.
Usage
var_k(Kcen, sizes, cum_size)
Arguments
Kcen
the matrix with centered kernel values
sizes
vector indicating sample's size.
cum_size
vector indicating sample's cumulative sizes.
Value
the value of computed variance.
QuadratiK documentation built on Oct. 29, 2024, 5:08 p.m.
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| var_k | R Documentation |
Exact variance of k-sample test
Description
Compute the exact variance of kernel test for the k-sample problem under the null hypothesis that F1=...=Fk.
Usage
var_k(Kcen, sizes, cum_size)
Arguments
Kcen |
the matrix with centered kernel values |
sizes |
vector indicating sample's size. |
cum_size |
vector indicating sample's cumulative sizes. |
Value
the value of computed variance.
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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