Latent Space Item Response Model
Big Five Personality Test
Diagnostic the result of LSIRM.
Goodness-of-fit LSIRM
Formula function for LSIRM
Fit a LSIRM ( Latent Space Item Response Model)
lsirm12pl-package
1PL LSIRM fixing gamma to 1 for missing at random data.
1PL LSIRM fixing gamma to 1 for missing completely at random data.
1PL LSIRM fixing gamma to 1.
1PL LSIRM with model selection approach for missing at random data.
1PL LSIRM for missing at random data.
1PL LSIRM with model selection approach for missing completely at rand...
1PL LSIRM for missing completely at random data.
1PL LSIRM fixing gamma to 1 with normal likelihood for missing at rand...
1PL LSIRM fixing gamma to 1 with normal likelihood for missing complet...
1PL LSIRM fixing gamma to 1 with normal likelihood
1PL LSIRM with normal likelihood and model selection approach for miss...
1PL LSIRM with normal likelihood for missing at random data.
1PL LSIRM with normal likelihood and model selection approach for miss...
1PL LSIRM with normal likelihood for missing completely at random data...
1PL LSIRM with normal likelihood.
1PL LSIRM with normal likelihood and model selection approach.
1PL LSIRM.
1PL LSIRM with model selection approach.
Fit a 1PL LSIRM for binary and continuous item response data
2PL LSIRM fixing gamma to 1 for missing at random data.
2PL LSIRM fixing gamma to 1 for missing completely at random data.
2PL LSIRM fixing gamma to 1.
2PL LSIRM with model selection approach for missing at random data.
2PL LSIRM for missing at random data.
2PL LSIRM with model selection approach for missing completely at rand...
2PL LSIRM for missing completely at random data.
2PL LSIRM fixing gamma to 1 with normal likelihood for missing at rand...
2PL LSIRM fixing gamma to 1 with normal likelihood for missing complet...
2PL LSIRM fixing gamma to 1 with normal likelihood
2pl LSIRM with normal likelihood and model selection approach for miss...
2PL LSIRM with normal likelihood and missing at random data.
2PL LSIRM with normal likelihood and model selection approach for miss...
2PL LSIRM with normal likelihood and missing completely at random data...
2PL LSIRM with normal likelihood
2PL LSIRM with normal likelihood and model selection approach.
2PL LSIRM.
2PL LSIRM with model selection approach.
Fit a 2pl LSIRM for binary and continuous item resopnse data
1PL GRM LSIRM fixing gamma to 1.
1PL GRM LSIRM for missing at random data.
1PL GRM LSIRM for missing completely at random data.
Fit a single-chain ordinal LSIRM (GRM)
1PL GRM LSIRM with spike-and-slab prior.
Fit an ordinal LSIRM with the graded response model
2PL GRM LSIRM fixing gamma to 1.
2PL GRM LSIRM for missing at random data.
2PL GRM LSIRM for missing completely at random data.
Fit a single-chain ordinal LSIRM (GRM 2PL)
2PL GRM LSIRM with spike-and-slab prior.
Fit an ordinal LSIRM with the graded response model (2PL)
1PL Rasch model.
Plotting the interaction map or summarizing the parameter estimate of ...
Print the summary the result of LSIRM
Summary the result of LSIRM
Inductive Reasoning Developmental Test
2PL Rasch model.
Analysis of dichotomous, ordinal, and continuous response data using latent space item response models (LSIRMs). Provides 1PL and 2PL LSIRMs for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, extensions for continuous response data, and graded response models (GRM) for Likert-scale ordinal data as described in De Carolis et al. (2025) <doi:10.1080/00273171.2025.2605678>. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random (MAR) and missing completely at random (MCAR) assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.