Package: countprop 1.0.1
countprop: Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data
Calculates metrics of proportionality using the logit-normal multinomial model. It can also provide empirical and plugin estimates of these metrics.
Authors:
countprop_1.0.1.tar.gz
countprop_1.0.1.zip(r-4.5)countprop_1.0.1.zip(r-4.4)countprop_1.0.1.zip(r-4.3)
countprop_1.0.1.tgz(r-4.5-any)countprop_1.0.1.tgz(r-4.4-any)countprop_1.0.1.tgz(r-4.3-any)
countprop_1.0.1.tar.gz(r-4.5-noble)countprop_1.0.1.tar.gz(r-4.4-noble)
countprop_1.0.1.tgz(r-4.4-emscripten)countprop_1.0.1.tgz(r-4.3-emscripten)
countprop.pdf |countprop.html✨
countprop/json (API)
NEWS
| # Install 'countprop' in R: |
| install.packages('countprop', repos = c('https://kevinmcgregor.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kevinmcgregor/countprop/issues
- singlecell - Single cell sequencing data from mouse embryonic stem cells in G1 phase
Last updated 2 years agofrom:cbee244490. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-win | NOTE | Mar 11 2025 |
| R-4.5-mac | NOTE | Mar 11 2025 |
| R-4.5-linux | NOTE | Mar 11 2025 |
| R-4.4-win | NOTE | Mar 11 2025 |
| R-4.4-mac | NOTE | Mar 11 2025 |
| R-4.4-linux | NOTE | Mar 11 2025 |
| R-4.3-win | NOTE | Mar 11 2025 |
| R-4.3-mac | NOTE | Mar 11 2025 |
Exports:ebicebicPlotlogitNormalVariationlogLiklogVarTaylorFullmleLRmlePathnaiveVariationpluginVariation
Dependencies:bayesmcompositionsDEoptimRglassolatticeMASSMatrixNADARcppRcppArmadillorobustbasesurvivaltensorAtruncnormzCompositions
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extended Bayesian Information Criterion | ebic |
| Extended Bayesian Information Criterion Plot | ebicPlot |
| Logit Normal Variation | logitNormalVariation |
| Log-Likelihood | logLik |
| Full logp Variance-Covariance | logVarTaylorFull |
| Maximum Likelihood Estimate for multinomial logit-normal model | mleLR |
| Maximum Likelihood Estimator Paths | mlePath |
| Naive (Empirical) Variation | naiveVariation |
| Plugin Variation | pluginVariation |
| Single cell sequencing data from mouse embryonic stem cells in G1 phase | singlecell |
