Package: biotmle
Title: Targeted Learning for Biomarker Discovery with Moderated
        Statistics
Version: 1.3.0
Authors@R: c(
    person("Nima", "Hejazi", email = "nhejazi@berkeley.edu",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7127-2789")),
    person("Alan", "Hubbard", email = "hubbard@berkeley.edu",
           role = "aut",
           comment = c(ORCID = "0000-0002-3769-0127")),
    person("Weixin", "Cai", email = "wcai@berkeley.edu",
           role = "ctb",
           comment = c(ORCID = "0000-0003-2680-3066"))
    )
Author: Nima Hejazi [aut, cre, cph], Alan Hubbard [aut], Weixin Cai [ctb]
Maintainer: Nima Hejazi <nhejazi@berkeley.edu>
Description: This package facilitates the discovery of biomarkers from
    biological sequencing data (e.g., microarrays, RNA-seq) based on the
    associations of potential biomarkers with exposure and outcome variables by
    implementing an estimation procedure that combines a generalization of
    moderated statistics with asymptotically linear statistical parameters
    estimated via targeted minimum loss-based estimation (TMLE).
Depends: R (>= 3.4)
License: file LICENSE
URL: https://github.com/nhejazi/biotmle
BugReports: https://github.com/nhejazi/biotmle/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, ggplot2, superheat, wesanderson, doFuture,
        future, stats, Matrix, methods, DBI, limma, BiocParallel,
        SummarizedExperiment, biotmleData (>= 1.1.1), SuperLearner,
        tmle
Suggests: testthat, knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
biocViews: GeneExpression, DifferentialExpression, Sequencing,
        Microarray, RNASeq
NeedsCompilation: no
Packaged: 2017-11-01 05:07:56 UTC; biocbuild
Built: R 3.4.2; ; 2017-11-01 06:10:59 UTC; windows
