The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Analysis of dichotomous, ordinal, and continuous response data using latent space item response models (LSIRMs). Provides 1PL and 2PL LSIRMs for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, extensions for continuous response data, and graded response models (GRM) for Likert-scale ordinal data as described in De Carolis et al. (2025) <doi:10.1080/00273171.2025.2605678>. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random (MAR) and missing completely at random (MCAR) assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.
| Version: | 2.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Rcpp (≥ 1.0.5), MCMCpack, ggplot2, GPArotation, dplyr (≥ 1.1.4), grDevices, rlang, pROC, coda, spatstat, spatstat.geom, spatstat.random, plotly, gridExtra, grid, tidyr, fpc, kernlab, plyr, purrr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr |
| Published: | 2026-02-04 |
| DOI: | 10.32614/CRAN.package.lsirm12pl |
| Author: | Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb] |
| Maintainer: | Gwanghee Kim <musagh08 at yonsei.ac.kr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | lsirm12pl results |
| Reference manual: | lsirm12pl.html , lsirm12pl.pdf |
| Package source: | lsirm12pl_2.0.0.tar.gz |
| Windows binaries: | r-devel: lsirm12pl_2.0.0.zip, r-release: lsirm12pl_2.0.0.zip, r-oldrel: lsirm12pl_2.0.0.zip |
| macOS binaries: | r-release (arm64): lsirm12pl_2.0.0.tgz, r-oldrel (arm64): lsirm12pl_2.0.0.tgz, r-release (x86_64): lsirm12pl_2.0.0.tgz, r-oldrel (x86_64): lsirm12pl_2.0.0.tgz |
| Old sources: | lsirm12pl archive |
Please use the canonical form https://CRAN.R-project.org/package=lsirm12pl to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.