GUI for Entering Test Items and Obtaining Raw and Transformed
Scores

Statistical tests to compare two survival curves with recurrent
events
These tests are weighted tests type logrank

These are weighted tests type logrank for recurrent events.

Bootstrap Test for Similarity of Dose Response Curves Concerning
the Maximum Absolute Deviation
Provides a bootstrap test which decides whether two dose response curves can be assumed as equal concerning their maximum absolute deviation. A plenty of choices for the model types are available, which can be found in the 'DoseFinding' package, which is used for the fitting of the models.

Bootstrap Test for the Similarity of Dose Response Curves
Concerning the Maximum Absolute Deviation
Provides a bootstrap test which decides whether two dose response curves can be assumed as equal concerning their maximum absolute deviation. A plenty of choices for the model types are available, which can be found in the 'DoseFinding' package, which is used for the fitting of the models. See <doi:10.1080/01621459.2017.1281813> for details.

Personalizes and Randomizes Exams Written in 'LaTeX'
Randomizing exams with 'LaTeX'.
If you can compile your main document with 'LaTeX', the program should be able to compile the randomized
versions without much extra effort when creating the document.
Rcpp (>= 0.12.13), assertthat, stringr, jsonlite, stats, utils

C++11, A modern compiler (>=gcc-4.9), And latexmk
is necessary to compile all output documents with the functions
provided by this package

Supporting Functions and Data for Geo-Spatial Analytics Courses
at UTDallas, Texas
c(person("Michael", "Tiefelsdorf", email="tiefelsdorf@utdallas.edu", role=c("aut","cre")),
person("Yongwan", "Chun", role=c("ctb")),
person("Laila", "Al Aswad", role=c("aut")))
A collection of functions and data - mostly from Texas - is provided.
These are used as teaching tools for geo-spatial data analytics courses in the
GISciences program at The University of Texas at Dallas. In addition, several
vignettes illustrate geo-spatial data analytics practices, such as relative
risk kernel density estimations based on food store locations within Dallas
County or the identification of homogenous and spatially contiguous market areas
built on socio-economic, demographic and infrastructure census information. The
spatial resolution of the data-sets ranges from 1623 food store locations, over
geo-referenced areal data of 258 Texan counties, to 529 census tracts as well
as 1669 block groups in Dallas County. Cartographic, specialized regression and
data handling functions are provided.
sp, maptools, RColorBrewer, classInt, Formula
spatstat, smacpod, colorspace, car, effects, rgdal, spdep,
DMwR, ClustGeo, knitr, rmarkdown, testthat
Michael Tiefelsdorf [aut, cre],
Yongwan Chun [ctb],
Laila Al Aswad [aut]