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tabularMLC

0.0.4Package record

Tabular Maximum Likelihood Classifier

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) doi:10.1080/01431168508948456 method.

Changes in 0.0.4
  • Use methods::is for checking classes
  • Remove force compilation flag CXX_STD = CXX11

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.4
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.0.4Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
4includes 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
25%

Downloads

2.5K
CRAN downloads in the past year
Rank #19,480 · ~7/day · ~211/mo
Daily download trend is not available in this view yet.
25830 days
68190 days
2.5K1 year
Compare downloads with other packages →
Also on365 r2u

Repository

1Stars
0Forks
0Open issues
0Open PRs
1Releases
29Commits
1Commit identities
29 commits · Last activity 2025-09-23 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2021-10-05 · 12026-07-07 · 1
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/caiohamamura/tabularmlc on 2026-10-22.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing tabularMLC adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (2)
Rcppmethods
Imports (1)
stats
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.0.3 (2021)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.4Latest
    record
    2025-09-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.0.3
    record
    2021-10-05
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-10-05
Total releases
2 / 5 yrs
License
GPL-3 OSI
Download size
7.2 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tabularMLC")
Hamamura, C. (2025). tabularMLC: Tabular Maximum Likelihood Classifier (Version 0.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.tabularMLC

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tabularMLC version 0.0.4 [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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