BwNN: Minimum bandwidth based on kNN criterion.
In hadjipantelis/tPACE: Functional Data Analysis and Empirical Dynamics
BwNN R Documentation
Minimum bandwidth based on kNN criterion.
Description
Input a list of time points Lt, and the number of unique neighbors k. Obtain the minimum bandwidth guaranteeing k unique neighbours.
Usage
BwNN(Lt, k = 3, onlyMean = FALSE, onlyCov = FALSE)
Arguments
Lt
n-by-1 list of vectors
k
number of unique neighbors for cov and mu (default = 3)
onlyMean
Indicator to return only the minimum bandwidth for the mean
onlyCov
Indicator to return only the minimum bandwidth for the covariance
Examples
tinyGrid = list(c(1,7), c(2,3), 6, c(2,4), c(4,5))
BwNN(tinyGrid, k = 2) # c(3,2)
hadjipantelis/tPACE documentation built on Aug. 16, 2022, 10:45 a.m.
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| BwNN | R Documentation |
Minimum bandwidth based on kNN criterion.
Description
Input a list of time points Lt, and the number of unique neighbors k. Obtain the minimum bandwidth guaranteeing k unique neighbours.
Usage
BwNN(Lt, k = 3, onlyMean = FALSE, onlyCov = FALSE)
Arguments
Lt |
n-by-1 list of vectors |
k |
number of unique neighbors for cov and mu (default = 3) |
onlyMean |
Indicator to return only the minimum bandwidth for the mean |
onlyCov |
Indicator to return only the minimum bandwidth for the covariance |
Examples
tinyGrid = list(c(1,7), c(2,3), 6, c(2,4), c(4,5)) BwNN(tinyGrid, k = 2) # c(3,2)
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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