Title: Statistical Rank Aggregation: Inference, Evaluation, and
Author: Hossein Azari Soufiani, William Chen
Description: This package implements Generalized Method of Moments and Maximal
Likelihood methods for Random Utility Models. These methods are meant to
provide inference on rank comparison data. These methods accept full,
partial, and pairwise rankings, and provides methods to break down full or
partial rankings into their pairwise components. Please see Generalized
Method-of-Moments for Rank Aggregation from NIPS 2013 for a description of
Suggests: ggplot2, gridExtra, grid, testthat

Suggests: ggplot2, gridExtra, grid, testthat, lattice

Maintainer: Hossein Azari Soufiani <azari.hossein@gmail.com>
Description: A set of methods to implement Generalized Method of Moments and Maximal
Suggests: gridExtra, grid, testthat, lattice

Title: An App that Assists Intro Statistics Instructors with Data Sets
Description: Includes an interactive application designed to support
educators in wide-ranging disciplines, with a particular focus on
those teaching introductory statistical methods (descriptive and/or
inferential) for data analysis. Users are able to randomly generate
data, make new versions of existing data through common adjustments
(e.g., add random normal noise and perform transformations), and check
the suitability of the resulting data for statistical analyses.
ggplot2 (>= 3.3.5), plotly (>= 4.10.0), rhandsontable (>=
Packaged: 2022-11-23 14:25:32 UTC; ccasement

Title: Bayesian Ordinal Analysis for State Trace Designs
Author: Melissa Prince, Guy Hawkins, Jonathon Love, Andrew Heathcote
Description: StateTrace automates many aspects of a state-trace analysis of accuracy and other binary response data, including implementing Bayesian methods quantifying evidence about the outcomes of a state-trace experiment and the creation of customisable graphs. It also offers users either a GUI or non-GUI (i.e., command line input) implementation of the contained functions

Description: StateTrace automates many aspects of a state-trace
analysis of accuracy and other binary response data, including
implementing Bayesian methods quantifying evidence about the
outcomes of a state-trace experiment and the creation of
customisable graphs. It also offers users either a GUI or
non-GUI (i.e., command line input) implementation of the