kmeanfun: Mean and standard deviation of unimodality statistic
In otrimle: Robust Model-Based Clustering
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
These functions approximate the mean and standard deviation of the
unimodality statistic computed by kerndensmeasure
assuming standard Gaussian data dependent on the number of
observationsn. They have been chosen based on a simulation involving 74
different values of n. Used for standardisation in
kerndensp.
Usage
1
2
Arguments
n
integer. Number of observations.
Value
The resulting mean (kmeanfun) or standard deviation
(ksdfun).
Author(s)
Christian Hennig
christian.hennig@unibo.it
https://www.unibo.it/sitoweb/christian.hennig/en/
See Also
Examples
1
2
otrimle documentation built on May 29, 2021, 9:09 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
These functions approximate the mean and standard deviation of the
unimodality statistic computed by kerndensmeasure
assuming standard Gaussian data dependent on the number of
observationsn. They have been chosen based on a simulation involving 74
different values of n. Used for standardisation in
kerndensp.
Usage
1 2 |
Arguments
n |
integer. Number of observations. |
Value
The resulting mean (kmeanfun) or standard deviation
(ksdfun).
Author(s)
Christian Hennig christian.hennig@unibo.it https://www.unibo.it/sitoweb/christian.hennig/en/
See Also
Examples
1 2 |
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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