Mean and Variance Modeling of Binary Data
Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM).

Formula, expm, numDeriv, stats, lmtest, grDevices, graphics

Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM) as in the article MJ Faddy and DM Smith (2012) <doi:10.1002/bimj.201100214> .

Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM) as in the article Faddy and Smith (2012) <doi:10.1002/bimj.201100214> .

Threshold Cut Point of Probability for a Binary Classifier Model
Allows to view the optimal probability cut-off point at which the Sensitivity and Specificity meets and its a best way to minimize both Type-1 and Type-2 error for a binary Classifier in determining the Probability threshold.

Interactive Circular Visualization of Genomic Data using
'htmlwidgets' and 'BioCircos.js'
c(person("Loan", "Vulliard", email = "lvulliard@cemm.at", role = c("trl", "cre")),
person("Xiaowei", "Chen", email = "chenxiaowei@moon.ibp.ac.cn", role = c("aut")),
person("Ya", "Cui", email = "cui_ya@163.com", role = c("aut")))
Implement in 'R' interactive Circos-like visualizations of genomic data, to map information
such as genetic variants, genomic fusions and aberrations to a circular genome, as proposed by the
'JavaScript' library 'BioCircos.js', based on the 'JQuery' and 'D3' technologies.
RColorBrewer, htmlwidgets, jsonlite, plyr, grDevices
Loan Vulliard [trl, cre],
Xiaowei Chen [aut],
Ya Cui [aut]

Implement in 'R' interactive Circos-like visualizations of genomic data, to map information
such as genetic variants, genomic fusions and aberrations to a circular genome, as proposed by the
'JavaScript' library 'BioCircos.js', based on the 'JQuery' and 'D3' technologies. The output is by
default displayed in stand-alone HTML documents or in the 'RStudio' viewer pane. Moreover it can be
integrated in 'R Markdown' documents and 'Shiny' applications.

Biodiversity Assessment Using Functional Tools
c(person("Fabrizio Maturo", role = c("aut", "cre"), email = "f.maturo@unich.it"),
person("Francesca Fortuna", role = "aut", email = "francesca.fortuna@unich.it"),
person("Tonio Di Battista", role = "aut", email = "dibattis@unich.it"))
Fabrizio Maturo [aut, cre],
Francesca Fortuna [aut],
Tonio Di Battista [aut]
The main drawback of the most common biodiversity indices is that different measures may lead to different rankings among communities . This instrument overcomes this limit using some functional tools with the diversity profiles. In particular, the derivatives, the curvature, the radius of curvature, the arc length, and the surface area are proposed. The goal of this method is to interpret in detail the diversity profiles and obtain an ordering between different ecological communities on the basis of diversity. In contrast to the typical indices of diversity, the proposed method is able to capture the multidimensional aspect of biodiversity, because it takes into account both the evenness and the richness of the species present in an ecological community.