Packages | Loading the package; Dependencies | Formatting the Observed Data | Creating the M-Matrix | Processing with IRT-M | Interpretation and Analysis | Correlation matrices | Visualizations | Lambda
This package is considered a duplicate. The official version of this package is found at:https://dasiegel.r-universe.dev/IRTM
Package: IRTM 0.0.1.2
David Siegel
IRTM: Theory-Driven Item Response Theory (IRT) Models
IRT-M is a semi-supervised approach based on Bayesian Item Response Theory that produces theoretically identified underlying dimensions from input data and a constraints matrix. The methodology is fully described in 'Morucci et al. (2024), "Measurement That Matches Theory: Theory-Driven Identification in Item Response Theory Models"'. Details are available at <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.
Authors:
IRTM_0.0.1.2.tar.gz
IRTM_0.0.1.2.zip(r-4.7-x86_64)IRTM_0.0.1.2.zip(r-4.7-arm64)IRTM_0.0.1.2.zip(r-4.6-x86_64)IRTM_0.0.1.2.zip(r-4.6-arm64)
IRTM_0.0.1.2.tar.gz(r-4.7-arm64)IRTM_0.0.1.2.tar.gz(r-4.7-x86_64)IRTM_0.0.1.2.tar.gz(r-4.6-arm64)IRTM_0.0.1.2.tar.gz(r-4.6-x86_64)
IRTM_0.0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
IRTM/json (API)
| # Install 'IRTM' in R: |
| install.packages('IRTM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
Datasets:
- MCodes - Methodological Codes
- synth_idvs - Synthetic Independent Variables
- synth_questions - Questions for the Synthetic European sentiment survey in the vignette
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a955988604. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 195 | ||
| source / vignettes | OK | 378 | ||
| linux-release-arm64 | OK | 181 | ||
| linux-release-x86_64 | OK | 191 | ||
| windows-devel-arm64 | OK | 267 | ||
| windows-devel-x86_64 | OK | 231 | ||
| windows-release-arm64 | OK | 287 | ||
| windows-release-x86_64 | OK | 130 | ||
| wasm-release | OK | 135 |
Exports:dim_corrget_lambdasGeweke_convergenceirt_mirt_visM_constrained_irtmsepair_gen_anchorsstandardize_thetatheta_avtheta_lambda_traceplots
Dependencies:clicodacpp11dplyrfarvergenericsggplot2ggridgesgluegmmgtableisobandlabelinglatticelifecyclemagrittrMatrixmvtnormpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloRcppDistRcppProgressreshape2rlangS7sandwichscalesstringistringrtibbletidyselecttmvtnormtruncnormutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| learned correlations | dim_corr |
| get_lambdas | get_lambdas |
| Geweke Convergence | Geweke_convergence |
| irt_m | irt_m |
| irt_vis | irt_vis |
| M_constrained_irt | M_constrained_irt |
| Methodological Codes | MCodes |
| Mean Squared Error | mse |
| pair_gen_anchors | pair_gen_anchors |
| Standardize Theta | standardize_theta |
| Synthetic Independent Variables | synth_idvs |
| Questions for the Synthetic European sentiment survey in the vignette | synth_questions |
| Average Thetas | theta_av |
| Theta Lambda Traceplots | theta_lambda_traceplots |