DESCRIPTION

Package: proDA
Type: Package
Title: Differential Abundance Analysis of Label-Free Mass Spectrometry Data
Version: 1.17.1
Authors@R: c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", 
             role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3762-068X")),
             person("Simon", "Anders", email="s.anders@zmbh.uni-heidelberg.de", 
             role="ths", comment = c(ORCID = "0000-0003-4868-1805")))
Description: Account for missing values in label-free mass spectrometry data 
    without imputation. The package implements a probabilistic dropout model that
    ensures that the information from observed and missing values are properly 
    combined. It adds empirical Bayesian priors to increase power to detect
    differentially abundant proteins.
License: GPL-3
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
Suggests: 
    testthat (>= 2.1.0),
    MSnbase,
    dplyr,
    stringr,
    readr,
    tidyr,
    tibble,
    limma,
    DEP,
    numDeriv,
    pheatmap,
    knitr,
    rmarkdown,
    BiocStyle
Imports: 
    stats,
    utils,
    methods,
    BiocGenerics,
    SummarizedExperiment,
    S4Vectors,
    extraDistr
URL: https://github.com/const-ae/proDA
BugReports: https://github.com/const-ae/proDA/issues
biocViews: Proteomics, MassSpectrometry, DifferentialExpression,
    Bayesian, Regression, Software, Normalization, QualityControl
VignetteBuilder: knitr