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DiPPER

This is the development version of DiPPER; to use it, please install the devel version of Bioconductor.

Differential Prevalence via Probabilistic Estimation in R


Bioconductor version: Development (3.24)

Implements a Bayesian hierarchical model for differential prevalence analysis, tailored for microbiome studies. The method accommodates both cross-sectional and longitudinal designs, providing finite effect estimates and uncertainty intervals that are naturally adjusted for multiple testing via hierarchical shrinkage. Posterior inference is performed via Markov chain Monte Carlo (MCMC) using 'CmdStan' as the backend.

Author: Juho Pelto [aut, cre] ORCID iD ORCID: 0000-0001-8820-8014 , Leo Lahti [aut] ORCID iD ORCID: 0000-0001-5537-637X , Research Council of Finland [fnd] (Strategic Research Council, decisions 372345 and 374944)

Maintainer: Juho Pelto <jepelt at utu.fi>

Citation (from within R, enter citation("DiPPER")):

Juho Pelto, Leo Lahti. DiPPER: Differential Prevalence via Probabilistic Estimation in R. doi:10.18129/B9.bioc.DiPPER, R package version 0.99.1, https://bioconductor.org/packages/DiPPER.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("DiPPER")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DiPPER")
Differential prevalence analysis with DiPPER HTML
Reference ManualPDF
NEWSText

Details

biocViews Bayesian, DifferentialExpression, Microbiome, Regression, Sequencing, Software
Version0.99.1
In Bioconductor sinceBioC 3.24 (R-4.6)
License Artistic-2.0
Depends R (>= 4.5.0)
Imports instantiate, SummarizedExperiment, TreeSummarizedExperiment, stats, utils, ggplot2
System RequirementsCmdStan (https://mc-stan.org/users/interfaces/cmdstan)
URLhttps://github.com/jepelt/DiPPER
Bug Reportshttps://github.com/jepelt/DiPPER/issues
See More
Suggests testthat (>= 3.1.5), knitr, rmarkdown, BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/DiPPER
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DiPPER
Package Short Url https://bioconductor.org/packages/DiPPER/
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