c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"))
clisymbols, crayon, data.table (>= 1.9.0), fastmatch, hunspell
(>= 2.5), hutils (>= 0.8.0), magrittr, rstudioapi, stats,
tools, zoo

devtools, readr, rlang, stringi, testthat (>= 2.0.0), tinytex

LearnBayes, ggplot2, gridExtra, dplyr, shiny
Several functions for communicating Bayesian thinking including Bayes rule for deciding among spinners, visualizations for Bayesian inference for one proportion and for one mean, and comparison of two proportions using a discrete prior.

A Collection of Amended Histograms Designed for Teaching
Statistics
person("Carsten", "Lange", email = "clange@cpp.edu",
role = c("aut", "cre"))
Statistics students often have problems understanding
the relation between a random variable's true scale and its z-values.
To allow instructors to better better visualize histograms for these
students, the package provides histograms with two horizontal
axis containing z-values and the true scale of the variable.
The function TeachHistDens() provides a density histogram with two axis.
TeachHistCounts() and TeachHistRelFreq() are variations for count and
relative frequency histograms, respectively. TeachConfInterv() and
TeachHypTest() help instructors to visualize confidence levels
and the results of hypothesis tests.

Fits Neural Networks to Learn About Backpropagation
Can fit neural networks with up to two hidden layer and two different error functions. Also able to handle a weight decay. But just able to compute one output neuron and very slow.

Fits neural networks to learn about back propagation

Demonstrations for teaching and learning
This package is a set of demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.

MASS, maptools, mapproj, rgl, qcc, sgeostat

tcltk, lattice, tkrplot, MASS, rgl, sgeostat, mapproj

tcltk, tcltk2, lattice, MASS, rgl, sgeostat, mapproj

Demonstrations for Teaching and Learning
Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.
tkrplot, lattice, MASS, rgl, tcltk, tcltk2, png, ggplot2,
logspline, maptools, R2wd, manipulate