c(person("Jeff", "Atkins", email = "jwatkins6@vcu.edu",
role = c("aut", "cre")),
person("Gil", "Bohrer", role = "aut"),
person("Robert", "Fahey", role = "aut"),
person("Brady", "Hardiman", role = "aut"),
person("Chrisopher", "Gough", role = "aut"),
person("Timothy", "Morin", role = "aut"),
person("Atticus", "Stovall", role = "aut"),
person("Naupaka", "Zimmerman", role = c("ctb", "aut")),
person("Chris", "Black", role = "ctb"))
Jeff Atkins [aut, cre],
Gil Bohrer [aut],
Robert Fahey [aut],
Brady Hardiman [aut],
Chrisopher Gough [aut],
Timothy Morin [aut],
Atticus Stovall [aut],
Naupaka Zimmerman [ctb, aut],
Chris Black [ctb]
Provides a toolkit for calculating forest and canopy structural complexity metrics from
terrestrial LiDAR (light detection and ranging). References:  Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013 <doi:10.3390/f4030537>;
Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.
ggplot2, plyr, dplyr, stats, tools, viridis, moments

ggplot2, plyr, dplyr, stats, tools, viridis, tidyr, moments,
tibble

c(person(given = "Jiena",
family = "McLellan",
role = c("aut", "cre"),
email = "jienagu90@gmail.com",
comment = c(ORCID = "0000-0002-5578-088X")),
person(given = "Michael",
family = "Condouris",
role = "ctb",
comment = c(ORCID = "0000-0002-8862-4250")),
person(given = "Sai",
family = "Im",
role = "ctb",
comment = c(ORCID = "0000-0003-1990-5179")))
A series of utility functions to help with
reshaping hierarchy of data tree, and reform the structure of data tree.

Projecting Customer Retention Based on Fader and Hardie
Probability Models
Project Customer Retention based on Beta Geometric, Beta Discrete Weibull and Latent Class Discrete Weibull Models This package is based on Fader and Hardie (2007) <doi:10.1002/dir.20074> and Fader and Hardie et al. (2018) <doi:10.1016/j.intmar.2018.01.002> .

Project Customer Retention based on Beta Geometric, Beta Discrete Weibull and Latent Class
Discrete Weibull Models.This package is based on Fader and Hardie (2007)
<doi:10.1002/dir.20074> and Fader and Hardie et al. (2018) <doi:10.1016/j.intmar.2018.01.002>.