R Observatory: Metrics for wkNNMI version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2023-08-19. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 1.0.0, its last release before removal.

wkNNMI

1.0.0Package record

A Mutual Information-Weighted k-NN Imputation Algorithm

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Sebastian DaberdakuCRAN page ↗

Implementation of an adaptive weighted k-nearest neighbours (wk-NN) imputation algorithm for clinical register data developed to explicitly handle missing values of continuous/ordinal/categorical and static/dynamic features conjointly. For each subject with missing data to be imputed, the method creates a feature vector constituted by the information collected over his/her first 'window_size' time units of visits. This vector is used as sample in a k-nearest neighbours procedure, in order to select, among the other patients, the ones with the most similar temporal evolution of the disease over time. An ad hoc similarity metric was implemented for the sample comparison, capable of handling the different nature of the data, the presence of multiple missing values and include the cross-information among features.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/wkNNMI/wkNNMI_1.0.0.tar.gz"
pkgFile <- "wkNNMI_1.0.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 246 wordsVignettesNoNEWSYes · 0% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5includes a package overview page
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on32 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (2)

infotheo foreach

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Sebastian Daberdaku

Author, Maintainer since 1.0.0 (2020)

Erica Tavazzi

Author

Systems Biology and Bioinformatics Group http://sysbiobig.dei.unipd.it/

Copyright holder

Releases (1)

Submitted 1.0.1, in newbies since 2026-10-21 19:49 UTC, as of the 2026-10-25 16:57 UTC queue snapshot. See the queue →

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-08-19
email to the maintainer is undeliverable
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.0.0
record
2020-01-31
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-01-31
Total releases: 1 / 6 yrs
License: GPL-3 OSI
Bundled data: 1.8 KB / 2 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wkNNMI")

Format

Daberdaku, S., Tavazzi, E., & http://sysbiobig.dei.unipd.it/, S. B. a. B. G. (n.d.). wkNNMI: A Mutual Information-Weighted k-NN Imputation Algorithm (Version 1.0.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=wkNNMI

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for wkNNMI version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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