Imports: magrittr, data.table, stringi, hunspell, hutils (>= 0.8.0),
clisymbols, crayon, readr, rstudioapi, stats, zoo, fastmatch

clisymbols, crayon, readr, rstudioapi, stats, tools, zoo,

Imports: clisymbols, crayon, data.table (>= 1.9.0), fastmatch,
hunspell, hutils (>= 0.8.0), magrittr, rstudioapi, stats,
Suggests: devtools, readr, stringi, testthat (>= 2.0.0), tinytex

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

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

Depends: LearnBayes, ggplot2, gridExtra, dplyr, shiny
Description: 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.

Title: A Collection of Amended Histograms Designed for Teaching
Authors@R: person("Carsten", "Lange", email = "clange@cpp.edu",
Description: 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

Title: Fits Neural Networks to Learn About Backpropagation
Description: 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.

Title: Fits neural networks to learn about back propagation

Title: Demonstrations for teaching and learning
Description: 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.
Packaged: Tue Jul 12 17:15:23 2005; leisch