Package: lsirm12pl Type: Package Title: Latent Space Item Response Model Version: 2.0.3 Date: 2026-06-29 Authors@R: c(person("Dongyoung", "Go", role = c("aut"), email = "dongyoung.gr@yonsei.ac.kr"), person("Gwanghee", "Kim", role = c("aut", "cre"), email = "musagh08@yonsei.ac.kr"), person("Jina", "Park", role = c("aut"), email = "pja070707@gmail.com"), person("Ickhoon", "Jin", role = c("ctb"), email = "ijin@yonsei.ac.kr"), person("Minjeong", "Jeon", role = "ctb", email = "mjjeon@ucla.edu")) Maintainer: Gwanghee Kim Description: Analysis of dichotomous, ordinal, and continuous response data using latent space item response model ('LSIRM'). Provides 1PL and 2PL 'LSIRM' for binary response data as described in Jeon et al. (2021) , graded response models ('GRM') for ordinal data (De Carolis et al., 2025, ), and extensions for continuous response data. 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. License: GPL-3 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 Encoding: UTF-8 RoxygenNote: 7.3.2 Suggests: knitr Depends: R (>= 4.0.0) LazyData: true NeedsCompilation: yes Packaged: 2026-06-30 19:36:20 UTC; root Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb] Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev Repository: https://gwangheekim.r-universe.dev Date/Publication: 2026-06-30 16:30:02 UTC RemoteUrl: https://github.com/cran/lsirm12pl RemoteRef: HEAD RemoteSha: 5a7fc5063c0c13e14a668b3aec740c4b580aaba0