Title: A Tool to Scale Down Large Workflows for Testing
Authors@R: person("Landau", "William", email = "will.landau@gmail.com",
Description: Toggles the test and production versions of a large workflow.

Title: A Tool to Downsize Large Workflows for Testing
Authors@R: person(family = "Landau", given = "William",
email = "will.landau@gmail.com", role = c("aut", "cre"))

Authors@R: person(given = c("William", "Michael"), family = "Landau",
email = "will.landau@gmail.com", role = c("aut", "cph", "cre"))
Author: William Michael Landau [aut, cph, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>

Authors@R: c(person("Kenneth", "Hoehn", role=c("aut", "cre"),
Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees.
Provides methods to 1) reconstruct unmutated ancestral sequences,
2) build B cell phylogenetic trees using multiple methods,
3) visualize trees with metadata at the tips,
5) detect biased ancestor-descendant relationships among metadata types
Workflow examples available at documentation site (see URL).
Imports: alakazam (>= 1.1.0), ape (>= 5.5), Biostrings, dplyr (>=
0.8.1), ggtree, graphics, gridExtra, markdown, methods,
phangorn (>= 2.7.1), phylotate, RColorBrewer, rlang, shazam (>=
1.1.0), stats, stringr, tidyselect, tidyr, utils
Collate: 'Data.R' 'Dowser.R' 'Clones.R' 'Classes.R' 'Plotting.R'

Imports: alakazam (>= 1.1.0), ape (>= 5.6), Biostrings, dplyr (>=

Description: A GUI or command-line operated data analysis tool, for
analyzing time-dependent simulation data in which multiple
instantaneous or time-lagged relations are assumed. This
package uses Structural Equation Modeling (the sem package). It
is aimed to deal with time-dependent data and estimate whether
a causal diagram fits data from an (agent-based) simulation
Depends: R (>= 2.9.0), tcltk, sem, igraph

Authors@R: c(person("Matthew", "Fidler", email = "matthew.fidler@gmail.com", role = c("aut", "cre")),
person("John", "Plevyak", role = c("aut"), email = "jplevyak@gmail.com"))
Suggests: rex, covr, testthat, knitr, devtools,
Description: A Scannerless GLR parser/parser generator.  Note that GLR standing for "generalized LR", where L stands for "left-to-right" and
R stands for "rightmost (derivation)".  For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita
(1987) algorithm. (Paper can be found at <http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/J/J87/J87-1004.pdf>).
The original dparser package documentation can be found at <http://dparser.sourceforge.net/>.  This allows you to add mini-languages to R (like
RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like NONMEM to automatically translate
them to R code.   To use this in your code, add a LinkingTo 'dparser' in your DESCRIPTION file and instead of using '#include <dparse.h>' use
'#include <dparser.h>'.  This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called
'mkdparser'.  Additionally you can parse an arbitrary grammar within R using the 'dparse' function.