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bioc
beer:Bayesian Enrichment Estimation in R
BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.
Maintained by Athena Chen. Last updated 5 months ago.
softwarestatisticalmethodbayesiansequencingcoveragejagscpp
10 stars 5.38 score 12 scripts
rbgramacy
dynaTree:Dynamic Trees for Learning and Design
Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis of inputs. Illustrative examples from the original dynamic trees paper (Gramacy, Taddy & Polson (2011); <doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in the package; see demo(package="dynaTree").
Maintained by Robert B. Gramacy. Last updated 7 months ago.
2 stars 1.66 score 23 scripts