Package: ProteoBayes 1.0.0
Arthur Leroy
ProteoBayes: Bayesian Statistical Tools for Quantitative Proteomics
Bayesian toolbox for quantitative proteomics. In particular, this package provides functions to generate synthetic datasets, execute Bayesian differential analysis methods and display results, as described in the associated article Marie Chion and Arthur Leroy (2023) <arxiv:2307.08975>.
Authors:
ProteoBayes_1.0.0.tar.gz
ProteoBayes_1.0.0.zip(r-4.5)ProteoBayes_1.0.0.zip(r-4.4)ProteoBayes_1.0.0.zip(r-4.3)
ProteoBayes_1.0.0.tgz(r-4.4-any)ProteoBayes_1.0.0.tgz(r-4.3-any)
ProteoBayes_1.0.0.tar.gz(r-4.5-noble)ProteoBayes_1.0.0.tar.gz(r-4.4-noble)
ProteoBayes_1.0.0.tgz(r-4.4-emscripten)ProteoBayes_1.0.0.tgz(r-4.3-emscripten)
ProteoBayes.pdf |ProteoBayes.html✨
ProteoBayes/json (API)
NEWS
| # Install 'ProteoBayes' in R: |
| install.packages('ProteoBayes', repos = c('https://mariechion.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mariechion/proteobayes/issues
Last updated 2 days agofrom:e3dce81243. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | WARNING | Nov 21 2024 |
| R-4.5-linux | WARNING | Nov 21 2024 |
| R-4.4-win | WARNING | Nov 21 2024 |
| R-4.4-mac | WARNING | Nov 21 2024 |
| R-4.3-win | WARNING | Nov 21 2024 |
| R-4.3-mac | WARNING | Nov 21 2024 |
Exports:%>%identify_diffmulti_posterior_meanplot_distribposterior_meansample_distribsimu_db
Dependencies:clicolorspacecpp11dplyrextraDistrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Identify posterior mean differences | identify_diff |
| Multivariate posterior distribution of the means | multi_posterior_mean |
| Plot the posterior distribution of the difference of means | plot_distrib |
| Posterior distribution of the means | posterior_mean |
| Sample from a t-distribution | sample_distrib |
| Generate a synthetic dataset tailored for ProteoBayes | simu_db |
| Vectorised version of multi_posterior_mean() | vectorised_multi |
