Authors@R: person("Peter", "Hurford", role = c("aut", "cre"), email = "peter.hurford@datarobot.com")
Description: Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified colors or colored by the strength of the coefficient of that text derived from a regression model.
Packaged: 2017-09-07 02:37:50 UTC; peter.hurford

Package: modernVA
Type: Package
Title: An Implementation of Two Modern Education-Based Value-Added
Models
Version: 0.1.0
Authors@R: c(
person(given = "Garritt", family = "L. Page", email = "page@stat.byu.edu", role = c("aut", "cre", "cph")),
person(given = "S. McKay", family = "Curtis", email = "s.mckay.curtis@gmail.com", role = c("ctb", "cph")),
person(given = "Radford M. Neal", family = "Neal", role = c("ctb", "cph")))
Maintainer: Garritt L. Page <page@stat.byu.edu>
Description: Provides functions that fit two modern education-based value-added models.
One of these models is the quantile value-added model.  This model
permits estimating a school's value-added based on specific quantiles of
the post-test distribution.  Estimating value-added based on quantiles
of the post-test distribution provides a more complete picture of an
education institution's contribution to learning for students of all
abilities. See Page, G.L.; San Martín, E.; Orellana, J.; Gonzalez, J. (2017)
<doi:10.1111/rssa.12195> for more details.  The second model is a temporally
dependent value-added model. This model takes into account the temporal
dependence that may exist in school performance  between two cohorts in one
of two ways.  The first is by modeling school  random effects with a
non-stationary AR(1) process.  The second is by  modeling school effects
based on previous cohort's post-test performance. In addition to more
efficiently estimating value-added, this model permits making statements
about the persistence of a schools effectiveness. The standard  value-added
model is also an option.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-07-15 00:27:32 UTC; gpage
Author: Garritt L. Page [aut, cre, cph],
S. McKay Curtis [ctb, cph],
Radford M. Neal Neal [ctb, cph]
Repository: CRAN
Date/Publication: 2020-07-18 09:50:06 UTC