hlt
Higher-Order Item Response Theory
Higher-order latent trait theory (item response theory). We implement the generalized partial credit model with a second-order latent trait structure. Latent regression can be done on the second-order latent trait. For a pre-print of the methods, see, "Latent Regression in Higher-Order Item Response Theory with the R Package hlt" https://mkleinsa.github.io/doc/hlt_proof_draft_brmic.pdf.
- Version1.3.1
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/22/2022
Documentation
Team
Michael Kleinsasser
MaintainerShow author details
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Last 30 days
This package has been downloaded 304 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 10 times.
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Last 365 days
This package has been downloaded 3,660 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 Sep 11, 2024 with 36 downloads.
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Dependencies
- Imports8 packages
- Linking To3 packages