Description: Tool for analysing benthos data. It estimates several quality
indices like the total abundance of species, species richness,
Margalef's d, AZTI Marine Biotic Index (AMBI), and the BEQI-2 index.
Furthermore, additional (optional) features are provided that enhance data
preprocessing: (1) genus to species conversion, i.e.,taxa counts at the
taxonomic genus level can optionally be converted to the species level and
(2) pooling: small samples are combined to bigger samples with a
standardized size to (a) meet the data requirements of the AMBI,
(b) generate comparable species richness values and
(c) give a higher benthos signal to noise ratio.
Authors@R: c(person(given = "Willem", family = "van Loon", email =
"willem.van.loon@rws.nl", role = c("aut", "cph")), person(given = "Dennis",
Imports: knitr, markdown, jsonlite, xtable, plyr, reshape2

Title: Bayesian Estimation Supersedes the t-Test
Author: John K. Kruschke and Mike Meredith
Description: An alternative to t-tests, producing posterior estimates
for group means and standard deviations and their differences

for group means and standard deviations and their differences and

Description: An alternative to t-tests, producing posterior estimates for group means and standard deviations and their differences and effect sizes. It implements the method of Kruschke (2013) Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General, 142(2):573-603 <doi: 10.1037/a0029146>.

person("Mike", "Meredith", role=c("aut", "cre"), email="mike@mmeredith.net") )

Authors@R: person("Beaulac", "Cedric", email = "cedric@utstat.toronto.edu",
Description: Decision tree algorithm with a major feature added. Allows for users to define an ordering on the partitioning process.
Resulting in Branch-Exclusive Splits Trees (BEST). Cedric Beaulac and Jeffrey S. Rosentahl (2019) <arXiv:1804.10168>.

Authors@R: c(person("Wan", "Zhang", role = c("aut", "cre"),
person("Zhigen", "Zhao", role = "aut", email = "zhaozhg@temple.edu"),
person("Michael", "Baiocchi", role = "aut",
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.