Package: TopicTestlet 0.1.0
Jiawei Xiong
TopicTestlet: A Topic Testlet Model for Calibrating Testlet Constructed Responses
Implements the Topic Testlet Model (TTM) as described by Xiong et al. (2025) <doi:10.1111/jedm.70001>. The package integrates Latent Dirichlet Allocation (LDA) with the Partial Credit Model to account for local item dependence in testlets using latent topics from student textual responses.
Authors:
TopicTestlet_0.1.0.tar.gz
TopicTestlet_0.1.0.tar.gz(r-4.7-any)TopicTestlet_0.1.0.tar.gz(r-4.6-any)
TopicTestlet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TopicTestlet/json (API)
| # Install 'TopicTestlet' in R: |
| install.packages('TopicTestlet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ad4937f53f. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | OK | 180 | ||
| wasm-release | OK | 174 |
Exports:aggregate_responsesttm_estttm_ldattm_perplexity
Dependencies:BHclimodeltoolsNLPRcpprlangslamtmtopicmodelsxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Concatenate Student Responses | aggregate_responses |
| Fit the Topic Testlet Model (TTM) | ttm_est |
| Fit LDA and Extract Topic Proportions | ttm_lda |
| Calculate Perplexity for Different Topic Numbers | ttm_perplexity |