Nathan Stephens <nstephens@adknowledge.com>,
Vicky Yang <vyang@adknowledge.com>.

Nathan Stephens <nstephens@adknowledge.com>, Vicky Yang
<vyang@adknowledge.com>.

Orphaned and archived on 2012-06-01 as maintainer
<nstephens@adknowledge.com> and co-author addresses bounced.

Additional Tools for Splitting and Cleaning Data
person(given = "David",
family = "Ranzolin",
role = c("aut", "cre", "cph"),
email = "daranzolin@gmail.com")
Move between data frames and lists more efficiently with precision
splitting via 'dplyr' verbs. Easily cast variables to different data types. Keep
rows with NAs. Shift row values.
dplyr, purrr, rlang, utils, tidyselect, tibble, zeallot,
magrittr

A Tidy Framework to Hack Gene Expression Signatures
c(person(given = "Andrea",
family = "Carenzo",
email = "andrea.carenzo@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-6804-9984")),
person(given = "Loris",
family = "De Cecco",
email = "loris.dececco@istitutotumori.mi.it",
role = "aut",
comment = c(ORCID = "0000-0002-7066-473X")),
person(given = "Federico",
family = "Pistore",
email = "federico.pistore@istitutotumori.mi.it",
role = "aut"))
A collection of cancer transcriptomics gene signatures as well as a
simple and tidy interface to compute single sample enrichment scores either
with the original procedure or with three alternatives:
the "combined z-score" of Lee et al. (2008) <doi:10.1371/journal.pcbi.1000217>,
the "single sample GSEA" of Barbie et al. (2009) <doi:10.1038/nature08460> and
the "singscore" of Foroutan et al. (2018) <doi:10.1186/s12859-018-2435-4>.
The 'get_sig_info()' function can be used to retrieve information about each
signature implemented.
Andrea Carenzo [aut, cre] (<https://orcid.org/0000-0001-6804-9984>),
Loris De Cecco [aut] (<https://orcid.org/0000-0002-7066-473X>),
Federico Pistore [aut]

Analysis Framework for Monte Carlo Simulation Data in Physics
c(person(given = "Bartosz",
family = "Kostrzewa",
role = "aut",
email = "bartosz.kostrzewa@desy.de"),
person(given = "Johann",
family = "Ostmeyer",
role = "aut",
email = "ostmeyer@hiskp.uni-bonn.de"),
person(given = "Martin",
family = "Ueding",
role = "aut",
email = "mu@martin-ueding.de"),
person(given = "Carsten",
family = "Urbach",
role = c("aut", "cre"),
email = "urbach@hiskp.uni-bonn.de"),
person(given = "Nikolas",
family = "Schlage",
role = "ctb"),
person(given = "Markus",
family = "Werner",
role = "ctb"),
person(given = "Ferenc",
family = "Pittler",
role = "ctb"),
person(given = "Matthias",
family = "Fischer",
role = "ctb"),
person(given = "Vittorio",
family = "Lubicz",
role = "ctb"))
Toolkit to perform statistical analyses of correlation
functions generated from Lattice Monte Carlo simulations. In
particular, a class 'cf' for correlation functions and
methods to analyse those are defined. This includes (blocked)
bootstrap (based on the 'boot' package) and jackknife, but also an
automatic determination of integrated autocorrelation
times. 'hadron' also provides a very  general function
bootstrap.nlsfit() to bootstrap a non-linear least squares fit.
More specific functions are provided to extract hadronic quantities
from Lattice Quantum Chromodynamics simulations, a particular Monte
Carlo simulation,(see e.g. European Twisted Mass Collaboration, P. Boucaud et
al. (2008) <doi:10.1016/j.cpc.2008.06.013>). Here, to determine
energy eigenvalues of hadronic states, specific fitting routines
and in particular the generalised eigenvalue method (see
e.g. B. Blossier et al. (2009) <doi:10.1088/1126-6708/2009/04/094>
and M. Fischer et al. (2020)
<https://inspirehep.net/literature/1792113>) are implemented.
In addition, input/output and plotting routines are available.
dplyr, minpack.lm, parallel, rhdf5, knitr, testthat, tictoc,
tikzDevice, hash, numDeriv, staplr, markdown, rmarkdown, errors
Bartosz Kostrzewa [aut],
Johann Ostmeyer [aut],
Martin Ueding [aut],
Carsten Urbach [aut, cre],
Nikolas Schlage [ctb],
Markus Werner [ctb],
Ferenc Pittler [ctb],
Matthias Fischer [ctb],
Vittorio Lubicz [ctb]