Title: Adaptive P-Value Thresholding for Multiple Hypothesis Testing
Authors@R: person("Lihua", "Lei", email = "lihua.lei@berkeley.edu", role = c("aut", "cre"))
Description: Implementation of adaptive p-value thresholding (AdaPT), including both a framework that allows the user to specify any
algorithm to learn local false discovery rate and a pool of convenient functions that implement specific
algorithms. See Lei, Lihua and Fithian, William (2016) <arXiv:1609.06035>.
Suggests: glmnet, HDtweedie, mgcv, splines, testthat, knitr, rmarkdown,

Description: The functions defined in this program serve for
implementing adaptive two-stage tests. Currently, four tests
are included: Bauer and Koehne (1994), Lehmacher and Wassmer
(1999), Vandemeulebroecke (2006), and the horizontal
conditional error function. User-defined tests can also be
implemented. Reference: Vandemeulebroecke, An investigation of
two-stage tests, Statistica Sinica 2006.
Packaged: Thu Oct 15 13:12:39 2009; hackni1

Description: The functions defined in this program serve for implementing adaptive
two-stage tests. Currently, four tests are included: Bauer and Koehne (1994),
Lehmacher and Wassmer (1999), Vandemeulebroecke (2006), and the horizontal conditional
error function. User-defined tests can also be implemented. Reference: Vandemeulebroecke,
An investigation of two-stage tests, Statistica Sinica 2006.
Author: Marc Vandemeulebroecke [aut, cre]

Authors@R: c(person("Max", "Conway", email = "conway.max1@gmail.com",
person("Natasha", "Latysheva", email = "nslatysheva@gmail.com",
Description: Infer the code style (which style rules are followed and which ones are
not) from one package and use it to check another. This makes it easier to
find and correct the most important problems first.

Authors@R: person("Julia", "Fukuyama", email = "julia.fukuyama@gmail.com", role = c("aut", "cre"))
Description: Implements adaptive gPCA, as described in: Fukuyama, J. (2017)
<arXiv:1702.00501>. The package also includes functionality for applying
the method to 'phyloseq' objects so that the method can be easily applied
to microbiome data and a 'shiny' app for interactive visualization.
Packaged: 2017-08-01 13:05:08 UTC; juliefukuyama