Package: lsirm12pl 1.3.3

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.

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

lsirm12pl_1.3.3.tar.gz
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lsirm12pl_1.3.3.tgz(r-4.4-x86_64)lsirm12pl_1.3.3.tgz(r-4.4-arm64)lsirm12pl_1.3.3.tgz(r-4.3-x86_64)lsirm12pl_1.3.3.tgz(r-4.3-arm64)
lsirm12pl_1.3.3.tar.gz(r-4.5-noble)lsirm12pl_1.3.3.tar.gz(r-4.4-noble)
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lsirm12pl.pdf |lsirm12pl.html✨
lsirm12pl/json (API)

# Install 'lsirm12pl' in R:
install.packages('lsirm12pl', repos = c('https://jina-stat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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:

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

1.60 score 2 stars 2 scripts 295 downloads 44 exports 110 dependencies

Last updated 3 months agofrom:3654b3a010. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64OKNov 14 2024
R-4.5-linux-x86_64OKNov 14 2024
R-4.4-win-x86_64OKNov 14 2024
R-4.4-mac-x86_64OKNov 14 2024
R-4.4-mac-aarch64OKNov 14 2024
R-4.3-win-x86_64OKNov 14 2024
R-4.3-mac-x86_64OKNov 14 2024
R-4.3-mac-aarch64OKNov 14 2024

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_ssoneplplottwopl

Dependencies:abindaskpassbase64encbslibcachemclasscliclustercodacolorspacecpp11crosstalkcurldata.tabledeldirDEoptimRdigestdiptestdplyrevaluatefansifarverfastmapflexmixfontawesomefpcfsgenericsggplot2gluegoftestGPArotationgridExtragtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmclustmcmcMCMCpackmemoisemgcvmimemodeltoolsmunsellnlmennetopensslpillarpkgconfigplotlyplyrpolyclipprabcluspROCpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrobustbaserpartsassscalesSparseMspatstatspatstat.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 resopnse 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
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