c(person("Marzena", "Szpadel", email = "M.Szpadel@stat.gov.pl",
role = c("aut", "cre")),
person("Krzysztof", "Kania", role = c("aut")),
person(given = "Statistics Poland",
role = c("cph", "fnd")))
Marzena Szpadel [aut, cre],
Krzysztof Kania [aut],
Statistics Poland [cph, fnd]

methods, magrittr, tibble, jsonlite, httr, dplyr, tidyr,
utils, stats, ggplot2, ggpubr, randomcoloR, purrr, sf,
tmaptools, tmap, progress

c(person(given="Rainer", family="Dangl",
email="rainer.dangl@boku.ac.at", role=c("aut", "cre")))
Transparent and Reproducible Artificial Data Generation
GenOrd, MultiOrd, stringdist, rgl, RSQLite, MASS, DBI,
methods, grDevices, stats, utils
The main function generateDataset() processes a user-supplied .R file that
contains metadata parameters in order to generate actual data. The metadata parameters
have to be structured in the form of metadata objects, the format of which is
outlined in the package vignette. This approach allows to generate artificial data
in a transparent and reproducible manner.

c(person(given="Rainer", family="Dangl",
email="rainer.dangl@bildung.gv.at", role=c("aut", "cre")))

Bayesian Discrete Ordered Classification of DNA Barcodes
This package contains a function that will classify DNA
barcodes as well as a few test and reference data sets.

Anderson, Michael P. (HSC) <Michael-Anderson@ouhsc.edu>

Michael Seedorff, Jacob Oleson, Joseph Cavanaugh, Bob McMurray, and Grant Brown
Analyze differences among time series curves with Oleson et al's modified p-value technique.

Michael Seedorff, Jacob Oleson, Grant Brown, Joseph Cavanaugh, and Bob McMurray
Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.

Collin Nolte, Michael Seedorff, Jacob Oleson, Grant Brown,
Joseph Cavanaugh, and Bob McMurray
nlme, mvtnorm, parallel, stats, graphics, utils

Analyze differences among time series curves with p-value
adjustment for multiple comparisons introduced in Oleson et al
(2015) <DOI:10.1177/0962280215607411>.