Package: biotmle
Title: Targeted Learning for Biomarker Discovery with Moderated
        Statistics
Version: 1.0.4
Authors@R: c(
  person("Nima", "Hejazi", email = "nhejazi@berkeley.edu",
         role = c("aut", "cre", "cph")),
  person("Alan", "Hubbard", email = "hubbard@berkeley.edu", role = "aut"),
  person("Weixin", "Cai", email = "wcai@berkeley.edu", role = "ctb") )
Author: Nima Hejazi [aut, cre, cph]
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 the
  moderated t-statistic 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: tmle, limma, foreach, parallel, doParallel, ggplot2,
        wesanderson, magrittr, dplyr, stats, Matrix, methods,
        SummarizedExperiment, superheat, SuperLearner, biotmleData
Suggests: testthat, rmarkdown, knitr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
biocViews: GeneExpression, DifferentialExpression, Sequencing,
        Microarray, RNASeq
NeedsCompilation: no
Packaged: 2017-09-09 01:34:35 UTC; biocbuild
Built: R 3.4.1; ; 2017-09-09 02:18:14 UTC; windows
