Package: binest
Type: Package
Title: Estimation of Group Means and SDs from Binned Count Data
Version: 0.3-1
Date: 2026-09-22
Depends: R (>= 3.5.0)
Imports: splines, stats, utils
Suggests: knitr, rmarkdown, R2jags
Authors@R: c(
    person("Paul T.", "von Hippel", role = c("aut", "cre"),
           email = "ph3828@eid.utexas.edu"),
    person("David J.", "Hunter", role = "aut"),
    person("J.R.", "Lockwood", role = "aut",
           comment = "Original HETOP package author"))
Description: Education agencies often report school or district score
    distributions as the number of students scoring in each of several
    score ranges, or bins, separated by threshold scores, or cuts.  The
    functions in the binest package translate those bin counts into
    estimates of the mean and standard deviation (SD).  They do so using
    the heteroskedastic ordered probit (HETOP) model, which assumes that
    scores follow a normal distribution within each school or district,
    each of which has its own mean and SD.  The binest package includes
    the fast_hetop() function, which fits the model much more quickly
    than previous implementations.  The model is described by
    Reardon, Shear, Castellano and Ho (2017)
    <doi:10.3102/1076998616666279>; a Bayesian variant is described by
    Lockwood, Castellano and Shear (2018)
    <doi:10.3102/1076998618795124>.
License: GPL (>= 2)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-22 17:46:23 UTC; ph3828
Author: Paul T. von Hippel [aut, cre],
  David J. Hunter [aut],
  J.R. Lockwood [aut] (Original HETOP package author)
Maintainer: Paul T. von Hippel <ph3828@eid.utexas.edu>
Repository: CRAN
Date/Publication: 2026-09-22 20:10:43 UTC
