Overview of the TDCM Package | Core Functionalities | Extended Functionalities | Example 1: Single Group TDCM | Step 1: Load the Package and Sample Dataset | Step 2: Estimate the TDCM | Step 3: Summarize the Results | Step 4: Assess Measurement Invariance | Step 5: Estimate other DCMs | Step 6: Assess Absolute Fit | Step 7: Visualize | Example 2: Multigroup TDCM | References
Package: TDCM 0.3.0.9000
Michael E. Cotterell
TDCM: The Transition Diagnostic Classification Model Framework
Estimate the transition diagnostic classification model (TDCM) described in Madison & Bradshaw (2018) <doi:10.1007/s11336-018-9638-5>, a longitudinal extension of the log-linear cognitive diagnosis model (LCDM) in Henson, Templin & Willse (2009) <doi:10.1007/s11336-008-9089-5>. As the LCDM subsumes many other diagnostic classification models (DCMs), many other DCMs can be estimated longitudinally via the TDCM. The 'TDCM' package includes functions to estimate the single-group and multigroup TDCM, summarize results of interest including item parameters, growth proportions, transition probabilities, transitional reliability, attribute correlations, model fit, and growth plots.
Authors:
TDCM_0.3.0.9000.tar.gz
TDCM_0.3.0.9000.zip(r-4.7)TDCM_0.3.0.9000.zip(r-4.6)TDCM_0.3.0.9000.zip(r-4.5)
TDCM_0.3.0.9000.tgz(r-4.6-any)TDCM_0.3.0.9000.tgz(r-4.5-any)
TDCM_0.3.0.9000.tar.gz(r-4.7-any)TDCM_0.3.0.9000.tar.gz(r-4.6-any)
TDCM_0.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TDCM/json (API)
| # Install 'TDCM' in R: |
| install.packages('TDCM', repos = c('https://cotterell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cotterell/tdcm/issues
Pkgdown/docs site:https://cotterell.github.io
Datasets:
- data.tdcm01 - Several data sets for the 'TDCM' package.
- data.tdcm02 - Several data sets for the 'TDCM' package.
- data.tdcm03 - Several data sets for the 'TDCM' package.
- data.tdcm04 - Several data sets for the 'TDCM' package.
- data.tdcm05 - Several data sets for the 'TDCM' package.
Last updated from:3719388b0c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 167 | ||
| source / vignettes | OK | 280 | ||
| linux-release-x86_64 | OK | 151 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-oldrel-arm64 | OK | 203 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 106 | ||
| wasm-release | OK | 136 |
Exports:item.influencemg.tdcmmg.tdcm.summaryoneplcdmtdcmtdcm.comparetdcm.ipdtdcm.plottdcm.rulestdcm.scoretdcm.summary
Dependencies:admiscCDMcligluegtoolslatticelifecyclemagrittrMatrixmvtnormpolycorRcppRcppArmadillorlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Several data sets for the 'TDCM' package. | data.tdcm data.tdcm01 data.tdcm02 data.tdcm03 data.tdcm04 data.tdcm05 |
| Estimating item influence measures. | item.influence |
| Estimating the multigroup transition diagnostic classification model (TDCM) | mg.tdcm |
| Multigroup TDCM results compiler and summarizer | mg.tdcm.summary |
| One-parameter log-linear cognitive diagnosis model. | oneplcdm |
| Estimating the Transition Diagnostic Classification Model (TDCM) | tdcm |
| Comparing the fit of two TDCMs | tdcm.compare |
| Assessing item parameter drift (IPD) in the Transition Diagnostic Classification Model (TDCM) | tdcm.ipd |
| Plotting TDCM Results | tdcm.plot |
| TDCM Condensation Rules | tdcm.rules |
| DCM scoring function. | tdcm.score |
| TDCM results compiler and summarizer. | tdcm.summary |
