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miebl  

Performance Criteria Modeler for Discrete Trial Training
View on CRAN: Click here


Download and install miebl package within the R console
Install from CRAN:
install.packages("miebl")

Install from Github:
library("remotes")
install_github("cran/miebl")

Install by package version:
library("remotes")
install_version("miebl", "0.1.0")



Attach the package and use:
library("miebl")
Maintained by
Mark Ramos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-25
Latest Update: 2025-04-25
Description:
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) <doi:10.1007/s40617-025-01058-9>.
How to cite:
Mark Ramos (2025). miebl: Performance Criteria Modeler for Discrete Trial Training. R package version 0.1.0, https://cran.r-project.org/web/packages/miebl. Accessed 08 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited miebl R package
View miebl citation profile
Other R packages that miebl depends, imports, suggests or enhances
Complete documentation for miebl
Functions, R codes and Examples using the miebl R package
Full miebl package functions and examples
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