Package: lsirm12pl 2.0.2

Gwanghee Kim

lsirm12pl: Latent Space Item Response Model

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) <doi:10.1007/s11336-021-09762-5>, graded response models ('GRM') for ordinal data (De Carolis et al., 2025, <doi:10.1080/00273171.2025.2605678>), 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.

Authors:Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]

lsirm12pl_2.0.2.tar.gz
lsirm12pl_2.0.2.tar.gz(r-4.7-arm64)lsirm12pl_2.0.2.tar.gz(r-4.7-x86_64)lsirm12pl_2.0.2.tar.gz(r-4.6-arm64)lsirm12pl_2.0.2.tar.gz(r-4.6-x86_64)
lsirm12pl_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lsirm12pl/json (API)
NEWS

# Install 'lsirm12pl' in R:
install.packages('lsirm12pl', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • BFPT - Big Five Personality Test
  • TDRI - Inductive Reasoning Developmental Test

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

2.62 score 3 stars 3 scripts 359 downloads 54 exports 109 dependencies

Last updated from:e99f1d01e6. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK242
linux-devel-x86_64OK277
source / vignettesOK272
linux-release-arm64OK239
linux-release-x86_64OK250
wasm-releaseOK195

Exports:diagnosticgoflsirmlsirm1pllsirm1pl_fixed_gammalsirm1pl_fixed_gamma_marlsirm1pl_fixed_gamma_mcarlsirm1pl_marlsirm1pl_mar_sslsirm1pl_mcarlsirm1pl_mcar_sslsirm1pl_normal_fixed_gammalsirm1pl_normal_fixed_gamma_marlsirm1pl_normal_fixed_gamma_mcarlsirm1pl_normal_marlsirm1pl_normal_mar_sslsirm1pl_normal_mcarlsirm1pl_normal_mcar_sslsirm1pl_normal_olsirm1pl_normal_sslsirm1pl_olsirm1pl_sslsirm2pllsirm2pl_fixed_gammalsirm2pl_fixed_gamma_marlsirm2pl_fixed_gamma_mcarlsirm2pl_marlsirm2pl_mar_sslsirm2pl_mcarlsirm2pl_mcar_sslsirm2pl_normal_fixed_gammalsirm2pl_normal_fixed_gamma_marlsirm2pl_normal_fixed_gamma_mcarlsirm2pl_normal_marlsirm2pl_normal_mar_sslsirm2pl_normal_mcarlsirm2pl_normal_mcar_sslsirm2pl_normal_olsirm2pl_normal_sslsirm2pl_olsirm2pl_sslsirmgrmlsirmgrm_fixed_gammalsirmgrm_mcarlsirmgrm_olsirmgrm_sslsirmgrm2pllsirmgrm2pl_fixed_gammalsirmgrm2pl_mcarlsirmgrm2pl_olsirmgrm2pl_ssoneplplottwopl

Dependencies:abindaskpassbase64encbslibcachemclasscliclustercodacpp11crosstalkcurldata.tabledeldirDEoptimRdigestdiptestdplyrevaluatefarverfastmapflexmixfontawesomefpcfsgenericsggplot2gluegoftestGPArotationgridExtragtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmclustmcmcMCMCpackmemoisemgcvmimemodeltoolsnlmennetopensslotelpillarpkgconfigplotlyplyrpolyclipprabcluspROCpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrobustbaserpartS7sassscalesSparseMspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Big Five Personality TestBFPT
Diagnostic the result of LSIRM.diagnostic
Goodness-of-fit LSIRMgof
Fit a LSIRM ( Latent Space Item Response Model)lsirm
Formula function for LSIRMlsirm.formula
lsirm12pl-packagelsirm12pl
Fit a 1PL LSIRM for binary and continuous item response datalsirm1pl
1PL LSIRM fixing gamma to 1.lsirm1pl_fixed_gamma
1PL LSIRM fixing gamma to 1 for missing at random data.lsirm1pl_fixed_gamma_mar
1PL LSIRM fixing gamma to 1 for missing completely at random data.lsirm1pl_fixed_gamma_mcar
1PL LSIRM for missing at random data.lsirm1pl_mar
1PL LSIRM with model selection approach for missing at random data.lsirm1pl_mar_ss
1PL LSIRM for missing completely at random data.lsirm1pl_mcar
1PL LSIRM with model selection approach for missing completely at random data.lsirm1pl_mcar_ss
1PL LSIRM fixing gamma to 1 with normal likelihoodlsirm1pl_normal_fixed_gamma
1PL LSIRM fixing gamma to 1 with normal likelihood for missing at random data.lsirm1pl_normal_fixed_gamma_mar
1PL LSIRM fixing gamma to 1 with normal likelihood for missing completely at random data.lsirm1pl_normal_fixed_gamma_mcar
1PL LSIRM with normal likelihood for missing at random data.lsirm1pl_normal_mar
1PL LSIRM with normal likelihood and model selection approach for missing at random data.lsirm1pl_normal_mar_ss
1PL LSIRM with normal likelihood for missing completely at random data.lsirm1pl_normal_mcar
1PL LSIRM with normal likelihood and model selection approach for missing completely at random data.lsirm1pl_normal_mcar_ss
1PL LSIRM with normal likelihood.lsirm1pl_normal_o
1PL LSIRM with normal likelihood and model selection approach.lsirm1pl_normal_ss
1PL LSIRM.lsirm1pl_o
1PL LSIRM with model selection approach.lsirm1pl_ss
Fit a 2pl LSIRM for binary and continuous item response datalsirm2pl
2PL LSIRM fixing gamma to 1.lsirm2pl_fixed_gamma
2PL LSIRM fixing gamma to 1 for missing at random data.lsirm2pl_fixed_gamma_mar
2PL LSIRM fixing gamma to 1 for missing completely at random data.lsirm2pl_fixed_gamma_mcar
2PL LSIRM for missing at random data.lsirm2pl_mar
2PL LSIRM with model selection approach for missing at random data.lsirm2pl_mar_ss
2PL LSIRM for missing completely at random data.lsirm2pl_mcar
2PL LSIRM with model selection approach for missing completely at random data.lsirm2pl_mcar_ss
2PL LSIRM fixing gamma to 1 with normal likelihoodlsirm2pl_normal_fixed_gamma
2PL LSIRM fixing gamma to 1 with normal likelihood for missing at random data.lsirm2pl_normal_fixed_gamma_mar
2PL LSIRM fixing gamma to 1 with normal likelihood for missing completely at random data.lsirm2pl_normal_fixed_gamma_mcar
2PL LSIRM with normal likelihood and missing at random data.lsirm2pl_normal_mar
2pl LSIRM with normal likelihood and model selection approach for missing at random data.lsirm2pl_normal_mar_ss
2PL LSIRM with normal likelihood and missing completely at random data.lsirm2pl_normal_mcar
2PL LSIRM with normal likelihood and model selection approach for missing completely at random data.lsirm2pl_normal_mcar_ss
2PL LSIRM with normal likelihoodlsirm2pl_normal_o
2PL LSIRM with normal likelihood and model selection approach.lsirm2pl_normal_ss
2PL LSIRM.lsirm2pl_o
2PL LSIRM with model selection approach.lsirm2pl_ss
Fit an ordinal LSIRM with the graded response modellsirmgrm
1PL GRM LSIRM fixing gamma to 1.lsirmgrm_fixed_gamma
1PL GRM LSIRM for missing completely at random data.lsirmgrm_mcar
Fit a single-chain ordinal LSIRM (GRM)lsirmgrm_o
1PL GRM LSIRM with spike-and-slab prior.lsirmgrm_ss
Fit an ordinal LSIRM with the graded response model (2PL)lsirmgrm2pl
2PL GRM LSIRM fixing gamma to 1.lsirmgrm2pl_fixed_gamma
2PL GRM LSIRM for missing completely at random data.lsirmgrm2pl_mcar
Fit a single-chain ordinal LSIRM (GRM 2PL)lsirmgrm2pl_o
2PL GRM LSIRM with spike-and-slab prior.lsirmgrm2pl_ss
1PL Rasch model.onepl
Plotting the interaction map or summarizing the parameter estimate of fitted LSIRM with box plot.plot
Print the summary the result of LSIRMprint.summary.lsirm
Summary the result of LSIRMsummary.lsirm
Inductive Reasoning Developmental TestTDRI
2PL Rasch model.twopl