fdapace: BwNN – R documentation

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BwNN

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)

fdapace

Functional Data Analysis and Empirical Dynamics

v0.5.6

BSD_3_clause + file LICENSE

Authors

Cody Carroll [aut, cre] (<https://orcid.org/0000-0003-3525-8653>), Alvaro Gajardo [aut], Yaqing Chen [aut], Xiongtao Dai [aut], Jianing Fan [aut], Pantelis Z. Hadjipantelis [aut], Kyunghee Han [aut], Hao Ji [aut], Shu-Chin Lin [ctb], Paromita Dubey [ctb], Hans-Georg Mueller [cph, ths, aut], Jane-Ling Wang [cph, ths, aut]

Initial release

2021-01-10,