c(
person("Max", "Kuhn", , "mxkuhn@gmail.com", c("aut", "cre")),
person("Steve", "Weston", role = "ctb"),
person("Mark", "Culp", role = "ctb"),
person("Nathan", "Coulter", role = "ctb"),
person("Ross", "Quinlan", role = "aut", comment = "Author of imported C code"),
person("RuleQuest Research", role = "cph", comment = "Copyright holder of imported C code"),
person("Rulequest Research Pty Ltd.", role = "cph", comment = "Copyright holder of imported C code"))
Max Kuhn [aut, cre],
Steve Weston [ctb],
Mark Culp [ctb],
Nathan Coulter [ctb],
Ross Quinlan [aut] (Author of imported C code),
RuleQuest Research [cph] (Copyright holder of imported C code),
Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)

Provides three variants of three-way correspondence analysis (ca)
three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca.
R (> 3.0.1), methods, tools, ggplot2, gridExtra, ggrepel

Rosaria Lombardo, Eric J Beh and Michel van de Velden
Provides four variants of three-way correspondence analysis (ca):
three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca
and three-way ordered non-symmetrical ca.
R (> 3.0.1), methods, tools, ggplot2, gridExtra, ggrepel,
multichull

R (> 3.0.1), methods, tools, ggforce, gridExtra, ggrepel,
multichull

R (> 3.0.1), methods, tools, ggforce, gridExtra, ggrepel,
multichull, utils

ggplot2, plotly, tools, ggforce, gridExtra, ggrepel,
multichull, utils

Cross-Species Analysis of Cell Identities, Markers and
Regulations
A toolkit to perform cross-species analysis based on scRNA-seq data. This package contains 5 main features. (1) identify Markers in each cluster. (2) Cell type annotation (3) identify conserved markers. (4) identify conserved cell types. (5) identify conserved modules of regulatory networks.
pheatmap, pbapply, psych, ROCR, reshape2, dplyr, grDevices,
stats, methods, viridisLite

This package performs the CADF unit root test proposed in Hansen (1995).
This package performs Hansen's (1995) Covariate-Augmented Dickey-Fuller (CADF) test.
The only required argument is y, the Tx1 time series to be tested.
If no stationary covariate X is passed to the procedure, then an ordinary ADF test is performed.
The p-values of the test are computed using a procedure proposed in Costantini, Lupi and Popp (2007),
illustrated in Lupi (2008).