Imports: nleqslv, randtoolbox, Rcpp (>= 0.12.16)

Imports: nleqslv, randtoolbox, alabama, Rcpp (>= 0.12.16)
Suggests: knitr, rmarkdown, mvtnorm, testthat, carData

Suggests: knitr, rmarkdown, mvtnorm, testthat

Title: Tools for Immune Repertoire Analysis
person('Lianhao', 'Song', , 'hatsunecode@gmail.com', role = c('aut', 'cre'),
Description: A toolkit for read and prepare immune repertoire data. 'TrustVDJ' package focuses on the reading and processing of 'TRUST4' and '10x cellranger' software output results by using 'ReadTrust' and 'Read10x' functions, respectively, and also provides a convenience function 'build_IMGT_reference' to download the 'IMGT' database reference and split its sequences by species.
Collate: 'constants.r' 'utils.r' 'class.r' 'download.r' 'read10x.r'
Imports: Biostrings, data.table, methods, rvest, stats
Author: Lianhao Song [aut, cre] (<https://orcid.org/0000-0002-3211-3726>)

Title: Transposable Sphering for Large-Scale Inference with Correlated
Maintainer: Genevera I. Allen <gallen@rice.edu>
Description: Adjusts for correlations among the rows and columns via
the Transposable Sphering Algorithm when conducting large-scale

Author: Jose Claudio Faria, Enio Jelihovschi and Ivan Bezerra Allaman
Description: Perform the conventional Tukey test from aov and aov.list

Author: Jos� Cl�udio Faria <joseclaudio.faria@gmail.com>
Maintainer: Jos� Cl�udio Faria <joseclaudio.faria@gmail.com>

Description: Perform the conventional Tukey test from aov and aovlist

Author: Jos� Cl�udio Faria <joseclaudio.faria@gmail.com>,
Description: Perform the conventional Tukey test from formula, lm, aov, aovlist and lmer objects.

Description: Perform the conventional Tukey test from formula,

Authors@R: c(person("C. Bradford", "Barber", role = c("aut", "cph")),
person("The Geometry Center", "University of Minnesota", role = c("cph")),
person("Andrew", "Makhorin", role = c("aut", "cph")),
person("Timothy A.", "Davis", role = c("aut", "cph")),
person("Patrick R.", "Amestoy", role = c("aut", "cph")),
person("Iain S.", "Duff", role = c("aut", "cph")),
person("John K.", "Reid", role = c("aut", "cph")),
person("Stefan I.", "Larimore", role = c("aut")),
person("Jean-loup", "Gailly", role = c("aut", "cph")),
person("Mark", "Adler", role = c("aut", "cph")),
person("Niklas", "Sorensson", role = c("aut", "cph")),
person("Giorgio", "Sartor", role = c("aut")),
person("Heinrich", "Schuchardt", role = c("aut")),
person("Cosmin", "Truta", role = c("ctb")),
person("Alan", "Mishchenko", role = c("ctb")),
person("Tamas", "Badics", role = c("ctb")),
person("Pavlo", "Mozharovskyi", role = c("aut", "cre"),
Description: Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2017) <arXiv:1412.5122>.
Packaged: 2017-12-07 06:26:08 UTC; pavlo.mozharovskyi
The Geometry Center University of Minnesota [cph],