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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "miebl" in publications use:'
type: software
license: GPL-3.0-only
title: 'miebl: Performance Criteria Modeler for Discrete Trial Training'
version: 0.1.0
doi: 10.32614/CRAN.package.miebl
abstract: Provides a tool for computing probabilities and other quantities that are
  relevant in selecting performance criteria for discrete trial training. The main
  function, miebl(), computes Bayesian and frequentist probabilities and bounds for
  each of n possible performance criterion choices when attempting to determine a
  student's true mastery level by counting their number of successful attempts at
  displaying learning among n trials. The reporting function miebl_re() takes output
  from miebl() and prepares it into a brief report for a specific criterion. miebl_cp()
  combines 2 to 5 distributions of true mastery level given performance criterion
  in one plot for comparison. Ramos (2025) <https://doi.org/10.1007/s40617-025-01058-9>.
authors:
- family-names: Ramos
  given-names: Mark
  email: mlr6219@psu.edu
repository: https://mlr6219-ui.r-universe.dev
commit: 1d0a7cb57627c0dc2ae61da576d453c0f5963d1e
date-released: '2025-04-25'
contact:
- family-names: Ramos
  given-names: Mark
  email: mlr6219@psu.edu