Other packages > Find by keyword >

optical  

Optimal Item Calibration
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("optical", "1.7.1")



Attach the package and use:
library("optical")
Maintained by
Mahmood Ul Hassan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-25
Latest Update: 2023-05-25
Description:
The restricted optimal design method is implemented to optimally allocate a set of items that require calibration to a group of examinees. The optimization process is based on the method described in detail by Ul Hassan and Miller in their works published in (2019) and (2021) . To use the method, preliminary item characteristics must be provided as input. These characteristics can either be expert guesses or based on previous calibration with a small number of examinees. The item characteristics should be described in the form of parameters for an Item Response Theory (IRT) model. These models can include the Rasch model, the 2-parameter logistic model, the 3-parameter logistic model, or a mixture of these models. The output consists of a set of rules for each item that determine which examinees should be assigned to each item. The efficiency or gain achieved through the optimal design is quantified by comparing it to a random allocation. This comparison allows for an assessment of how much improvement or advantage is gained by using the optimal design approach. This work was supported by the Swedish Research Council (Vetenskapsr
How to cite:
Mahmood Ul Hassan (2023). optical: Optimal Item Calibration. R package version 1.7.1, https://cran.r-project.org/web/packages/optical. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited optical R package
View optical citation profile
Other R packages that optical depends, imports, suggests or enhances
Complete documentation for optical
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA