Package: ProteoBayes 1.0.0
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
Pkgdown site:https://mariechion.github.io
Last updated 24 days agofrom:943c8eceae. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 08 2025 |
R-4.5-win | OK | Jan 08 2025 |
R-4.5-linux | OK | Jan 08 2025 |
R-4.4-win | OK | Jan 08 2025 |
R-4.4-mac | OK | Jan 08 2025 |
R-4.3-win | OK | Jan 08 2025 |
R-4.3-mac | OK | Jan 08 2025 |
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 |