Title: Provides Tools for Dimension Reduction Methods
Description: Reduction methods through slice inverse regression approaches. It mainly designed for illustrating the articles "A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches" (Liquet, B., Saracco, J. (2012) <doi:10.1007/s00180-011-0241-9>) and "Comparison of sliced inverse regression approaches for underdetermined cases”.

Title: Stan Models for Item Response Theory
Maintainer: Daniel C. Furr <danielcfurr@berkeley.edu>
Description: Provides convenience functions and pre-programmed Stan models
related to item response theory. Its purpose is to make fitting
common item response theory models using Stan easy.
Packaged: 2016-08-04 23:02:23 UTC; Coulter Paisley

Packaged: 2017-01-30 23:54:18 UTC; Coulter Paisley

Title: Integrating R's debug() with Your Text Editor
Description: Integrates R's debugging facilities with your text editor,
featuring code tracking, variable display, quick breakpoint
setting, and easy toggling of function debug status.

Title: Retrieve Records from the Urban Institute's Education Data
person("Kyle", "Ueyama", email = "kueyama@urban.org", role = c("aut", "cre")),
person(given = "The Urban Institute", role = c("cph"))
Description: Allows R users to retrieve and parse data from the Urban
Institute's Education Data API <https://ed-data-portal.urban.org/> into a

person("Erika", "Tyagi", email = "etyagi@urban.org", role = "cre"),
person("Kyle", "Ueyama", email = "khueyama@gmail.com", role = "aut"),
Institute's Education Data API <https://educationdata.urban.org/> into a

Title: Compute and Decompose Inequality in Education
person("Vanesa", "Jorda", email = "jordav@unican.es", role =c("aut", "cre")),
person("Jose Manuel", "Alonso", email = "jmanuel.alonsoalonso@unican.es", role = "aut"))
Description: Easily compute education inequality measures and the distribution
of educational attainments for any group of countries, using the data set
developed in Jorda, V. and Alonso, JM. (2017) <DOI:10.1016/j.worlddev.2016.10.005>.
The package offers the possibility to compute not only the Gini index, but
also generalized entropy measures for different values of the sensitivity
parameter. In particular, the package includes functions to compute the
mean log deviation, which is more sensitive to the bottom part of the
distribution; the Theil’s entropy measure, equally sensitive to all parts
of the distribution; and finally, the GE measure when the sensitivity
parameter is set equal to 2, which gives more weight to differences in
higher education. The decomposition of these measures in the components
between-country and within-country inequality is also provided. Two
graphical tools are also provided, to analyse the evolution of the
distribution of educational attainments: The cumulative distribution