Automated Transformations, Normality Testing, and Reporting
c(
person("Daniel", "Mattei", email = "DMattei@live.com", role = c("aut","cre")),
person("John", "Ruscio", email = "ruscio@tcnj.edu", role = "aut")
)
Automated performance of common transformations used to fulfill parametric
assumptions of normality and identification of the best performing method
for the user. Output for various normality tests (Thode, 2002) corresponding
to the best performing method and a descriptive statistical report of the
input data in its original units (5-number summary and mathematical moments)
are also presented. Lastly, the Rankit, an empirical normal quantile transformation
(ENQT) (Soloman & Sawilowsky, 2009), is provided to accommodate non-standard
use cases and facilitate adoption.
<DOI: 10.1201/9780203910894>.
<DOI: 10.22237/jmasm/1257034080>.
Daniel Mattei [aut, cre],
John Ruscio [aut]

Isothermal Titration Calorimetry (ITC) Data Analysis
This package implements the simulation and regression of
integrated Isothermal Titration Calorimetry (ITC) data using
the most commonly used one-to-one binding reaction model.

Implements the simulation and regression of
integrated Isothermal Titration Calorimetry (ITC) data using
the most commonly used one-to-one binding reaction model.

Gregory Pasternack <gpast@ucdavis.edu>, Rafaeli Arroyo <rtoarroyo@gmail.com>
Generates graphs, CSV files, and coordinates related to river valleys when calling the riverbuilder() function.

Load Estimation of River Compounds with Different Methods
Veronica Nava [aut, cre], Martina Patelli [ctb], Marco Rotiroti [ctb], Barbara Leoni [ctb]
Implements several of the most popular load estimation procedures, including averaging methods, ratio estimators and regression methods. The package provides an easy-to-use tool to rapidly calculate the load for various compounds and to compare different methods. The package also supplies additional functions to easily organize and analyze the data.

In Vitro in Vivo Correlation Linear Level "A"
Aleksander Mendyk <mfmendyk@cyf-kr.edu.pl>, with contributions from Sebastian Polak <mfpolak@@cyf-kr.edu.pl>.
It is devoted to the IVIVC linear level A with numerical deconvolution method. The latter is working for inequal and incompatible timepoints between impulse and response curves. A numerical convolution method is also available. Application domains include pharamaceutical industry QA/QC and R&D together with academic research.