Go, D., Kim, G., Park, J., Park, J., Jeon, M. & Jin, I-H.
Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021). 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.
available on CRAN https://cran.r-project.org/web/packages/lsirm12pl/index.html
Jeon, M., Rijmen, F., and Rabe-Hesketh, S.
Flexible IRT modeling of binary and polytomous item responses using 1PL and 2PL uni- and multidimensional, bifactor, second-order IRT models with item and person covariates, multiple groups and differential item functioning, using efficient EM algorithm based in graphical model theory
available at https://sites.google.com/site/arbormj/sofware/flirt
Jeon, M. & Rockwood, N.*
A profile maximum likelihood estimation of generalized linear mixed models with factor structures
available on CRAN: https://cran.r-project.org/web/packages/PLmixed/index.html
DiTrapani, J.*, Rockwood, N.* & Jeon, M.
User-friendly, point-and-click tool for IRT analysis in SPSS
available on request and also see https://njrockwood.com/spirit/
Jeon, M., Kaufman, C., and Rabe-Hesketh, S.
Monte Carlo local likelihood estimation for complex models with latent variables, such as generalized linear and nonlinear mixed models with crossed random effects and state-space models
available on CRAN: https://cran.rstudio.com/web/packages/mcll/index.html