The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

lsirm12pl: Latent Space Item Response Model

Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.

Version: 1.3.3
Depends: R (≥ 3.1.0)
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, testthat
Published: 2024-08-28
DOI: 10.32614/CRAN.package.lsirm12pl
Author: Dongyoung Go [aut], Gwanghee Kim [aut], Jina Park [aut, cre], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Jina Park <pja070707 at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: lsirm12pl results

Documentation:

Reference manual: lsirm12pl.pdf

Downloads:

Package source: lsirm12pl_1.3.3.tar.gz
Windows binaries: r-devel: lsirm12pl_1.3.3.zip, r-release: lsirm12pl_1.3.3.zip, r-oldrel: lsirm12pl_1.3.3.zip
macOS binaries: r-release (arm64): lsirm12pl_1.3.3.tgz, r-oldrel (arm64): lsirm12pl_1.3.3.tgz, r-release (x86_64): lsirm12pl_1.3.3.tgz, r-oldrel (x86_64): lsirm12pl_1.3.3.tgz
Old sources: lsirm12pl archive

Linking:

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.