Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data
Overview
Calculates metrics of proportionality using the logit-normal multinomial model. It can also provide empirical and plugin estimates of these metrics.
- Added argument
lr.penaltyto functionsmleLR()andmlePath()
allow penalization of the covariance matrix
on both the additive log-ratio and centered log-ratio scales.
- Added argument
lrto bothlogitNormalVariation()andnaiveVariation()
to allow calculation of metrics of proportionality on either
the ALR or CLR scale.
- Added function
convertSigma()to allow easy conversion
between covariance matrices on ALR and CLR scales.
- Function
pluginVariation()is now deprecated as its results will
now be equivalent to naiveVariation().
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- ERROR13 OK, 1 ERROR2026-03-30
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing countprop adds 11 packages (8 with compiled code, 10 MB of source tarballs). Heaviest: compositions 2.7 MB, robustbase 2.2 MB, bayesm 2.1 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.1.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.12023-08-18
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-18
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.1 KB / 1 file
- Download size
- 265 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("countprop")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.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.