ccda
1.1.1Combined Cluster and Discriminant Analysis
Overview
Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. doi:10.1016/j.envsoft.2014.01.010.
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 3.0 median / 16 max
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
5 0 exported
Complexity
5.6 avg / 16 max
Call network
5 nodes / 1 edges
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- archivedRemoved from CRAN2026-05-08email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.1.12019-10-02 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.12014-12-08 · diff ↗
- RR 3.1.0 released · 2014-04-10
Show 2 earlier events
- 1.02014-01-13
- RR 3.0.0 released · 2013-04-03
Package metadata
- Total releases
- 3
- License
- GPL-2 OSI
- Download size
- 5.0 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet