Functions for the normal Laplace distribution. The package is
under development and provides only limited functionality.
Density, distribution and quantile functions, random number generation,
and moments are provided.

A Graphical User Interface for Testing Normality Visually
c(
person("Christopher", "Casement", , "casementc@gmail.com", role = c("cre", "aut")),
person("Laura", "McSweeney", role = "aut")
)
Package including an interactive Shiny application for
testing normality visually.
Christopher Casement [cre, aut],
Laura McSweeney [aut]

c(person("Christopher", "Casement", email = "casementc@gmail.com",
role = c("cre", "aut")),
person("Laura", "McSweeney", role = "aut")
)

Metabolomics data are inevitably subject to a component of unwanted
variation, due to factors such as batch effects, matrix effects, and confounding
biological variation. This package is a collection of functions designed to
implement, assess, and choose a suitable normalization method
for a given metabolomics study (De Livera et al (2015) <doi:10.1021/ac502439y> ).
RGtk2, impute, crmn, gplots, limma, plotly, statTarget,
Biobase, DiffCorr, e1071, AUC, htmlwidgets, metabolomics,
MetNorm, ggplot2, GGally, grid

Metabolomics data are inevitably subject to a component of unwanted
variation, due to factors such as batch effects, matrix effects, and confounding
biological variation. This package is a collection of functions designed to
implement, assess, and choose a suitable normalization method
for a given metabolomics study (De Livera et al (2015) <doi:10.1021/ac502439y>).

impute, crmn, limma, plotly, e1071, AUC, htmlwidgets, ggplot2,
GGally, grid, rmarkdown, knitr

Provides functions to produce advanced ascii graphics, directly to the terminal window. This package utilizes the txtplot() function from the 'txtplot' package, to produce text-based histograms, empirical cumulative distribution function plots, scatterplots with fitted and regression lines, quantile plots, density plots, image plots, and contour plots.