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Estimates group-level means and standard deviations from binned (coarsened) count data, where the within-bin scores are unobserved. The package implements three methods that share a common output structure: bin_means() (a fast estimator that assumes within-district normality and uses pooled bin proportions to derive bin-conditional truncated-normal expectations), mle_hetop() (maximum likelihood for the heteroskedastic ordered probit model of Reardon, Shear, Castellano and Ho 2017 <doi:10.3102/1076998616666279>), and fh_hetop() (the Bayesian Fay-Herriot variant of Lockwood, Castellano and Shear 2018 <doi:10.3102/1076998618795124>). The mle_hetop() and fh_hetop() functions are forked from the 'HETOP' package by J. R. Lockwood ('CRAN', last released 2019). mle_hetop() has been modified to speed up the runtime via a vectorized inner loop and to remove two user-facing arguments (fixedcuts and svals) that some users found confusing; cutpoints and starting values are now derived internally from the data.
| Version: | 0.2-1 |
| Depends: | R (≥ 3.5.0), splines, stats |
| Suggests: | knitr, rmarkdown, R2jags |
| Published: | 2026-06-08 |
| DOI: | 10.32614/CRAN.package.binest |
| 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 at eid.utexas.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | binest results |
| Reference manual: | binest.html , binest.pdf |
| Vignettes: |
Estimating District Means from Binned Test Scores with binest (source, R code) |
| Package source: | binest_0.2-1.tar.gz |
| Windows binaries: | r-devel: binest_0.2-1.zip, r-release: binest_0.2-1.zip, r-oldrel: binest_0.2-1.zip |
| macOS binaries: | r-release (arm64): binest_0.2-1.tgz, r-oldrel (arm64): binest_0.2-1.tgz, r-release (x86_64): binest_0.2-1.tgz, r-oldrel (x86_64): binest_0.2-1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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