Package: biotmle
Title: Moderated and Targeted Statistical Learning for Biomarker
        Discovery
Version: 1.4.0
Authors@R: c(
    person("Nima", "Hejazi", email = "nh@nimahejazi.org",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7127-2789")),
    person("Alan", "Hubbard", email = "hubbard@berkeley.edu",
           role = c("aut", "ths"),
           comment = c(ORCID = "0000-0002-3769-0127")),
    person("Weixin", "Cai", email = "wcai@berkeley.edu",
           role = "ctb",
           comment = c(ORCID = "0000-0003-2680-3066"))
    )
Maintainer: Nima Hejazi <nhejazi@berkeley.edu>
Author: Nima Hejazi [aut, cre, cph], Alan Hubbard [aut, ths], Weixin Cai [ctb]
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 targeted minimum loss-based estimates (TMLE) of
    parameters defined via causal inference (e.g., Average Treatment Effect)
    whose estimators admit asymptotically linear representations.
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, ggplot2, ggsci, superheat, doFuture, future, stats,
        methods, limma, BiocParallel, SummarizedExperiment, tmle
Suggests: testthat, knitr, rmarkdown, BiocStyle, SuperLearner, Matrix,
        DBI, biotmleData (>= 1.1.1)
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
biocViews: GeneExpression, DifferentialExpression, Sequencing,
        Microarray, RNASeq
NeedsCompilation: no
Packaged: 2018-05-01 04:06:49 UTC; biocbuild
Built: R 3.5.0; ; 2018-05-01 11:36:46 UTC; windows
