gscaLCA
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structured Component Analysis (GSCA). This is explained in Ryoo, Park, and Kim (2019) doi:10.1007/s41237-019-00084-6. It estimates the parameters of latent class prevalence and item response probability in LCA with a single line comment. It also provides graphs of item response probabilities. In addition, the package enables to estimate the relationship between the prevalence and covariates.
- Version0.0.5
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/08/2020
Team
Seohee Park
Jihoon Ryoo
Show author detailsRolesAuthorSeoungeun Kim
Show author detailsRolesAuthorheungsun Hwaung
Show author detailsRolesAuthor
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