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.
- Version1.3.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/28/2024
Team
Jina Park
Minjeong Jeon
Show author detailsRolesContributorDongyoung Go
Show author detailsRolesAuthorGwanghee Kim
Show author detailsRolesAuthorIckhoon Jin
Show author detailsRolesContributor
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Last 30 days
This package has been downloaded 406 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 4,082 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 16, 2024 with 96 downloads.
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Dependencies
- Imports18 packages
- Suggests2 packages
- Linking To2 packages