Package: baldur Title: Bayesian Hierarchical Modeling for Label-Free Proteomics Version: 0.0.4 Authors@R: person("Philip", "Berg", , "pberg@live.se", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3772-6185")) Description: Statistical decision in proteomics data using a hierarchical Bayesian model. There are two regression models for describing the mean-variance trend, a gamma regression or a latent gamma mixture regression. The regression model is then used as an Empirical Bayes estimator for the prior on the variance in a peptide. Further, it assumes that each measurement has an uncertainty (increased variance) associated with it that is also inferred. Finally, it tries to estimate the posterior distribution (by Hamiltonian Monte Carlo) for the differences in means for each peptide in the data. Once the posterior is inferred, it integrates the tails to estimate the probability of error from which a statistical decision can be made. See Berg and Popescu for details (). License: MIT + file LICENSE URL: https://github.com/PhilipBerg/baldur Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Biarch: true Depends: R (>= 4.2.0) Imports: dplyr (>= 1.0.9), magrittr (>= 2.0.3), methods, purrr (>= 0.3.4), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.2.0), stats, stringr (>= 1.0.4), tidyr (>= 1.2.0), rlang (>= 1.0.2), Rdpack (>= 2.4), multidplyr (>= 0.1.1), ggplot2 (>= 3.3.6), tibble (>= 3.1.7), viridisLite (>= 0.4.1), lifecycle LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) SystemRequirements: GNU make Suggests: knitr, rmarkdown VignetteBuilder: knitr LazyData: true RdMacros: Rdpack BugReports: https://github.com/PhilipBerg/baldur/issues Config/pak/sysreqs: cmake make libicu-dev Repository: https://philipberg.r-universe.dev Date/Publication: 2025-11-08 21:54:56 UTC RemoteUrl: https://github.com/philipberg/baldur RemoteRef: HEAD RemoteSha: d28dd18c755c98b825ccf4f510504c4a660037ba NeedsCompilation: yes Packaged: 2026-10-04 09:44:26 UTC; root Author: Philip Berg [aut, cre] (ORCID: ) Maintainer: Philip Berg