Package: neighbr 1.0.3

neighbr: Classification, Regression, Clustering with K Nearest Neighbors

Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.

Authors:Dmitriy Bolotov [aut, cre], Software AG [cph]

neighbr_1.0.3.tar.gz
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neighbr.pdf |neighbr.html
neighbr/json (API)
NEWS

# Install 'neighbr' in R:
install.packages('neighbr', repos = c('https://dbolotov.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 0 dependencies 30 scripts 508 downloads

Last updated 5 years agofrom:406b60153b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:distanceknnsimilarity

Dependencies:

Neighbr Help

Rendered fromneighbr-help.Rmdusingknitr::rmarkdownon Aug 25 2024.

Last update: 2020-03-19
Started: 2017-02-23