| BFPT | Big Five Personality Test |
| diagnostic | Diagnostic the result of LSIRM. |
| gof | Goodness-of-fit LSIRM |
| lsirm | Fit a LSIRM ( Latent Space Item Response Model) |
| lsirm.formula | Formula function for LSIRM |
| lsirm12pl | lsirm12pl-package |
| lsirm1pl | Fit a 1PL LSIRM for binary and continuous item response data |
| lsirm1pl_fixed_gamma | 1PL LSIRM fixing gamma to 1. |
| lsirm1pl_fixed_gamma_mar | 1PL LSIRM fixing gamma to 1 for missing at random data. |
| lsirm1pl_fixed_gamma_mcar | 1PL LSIRM fixing gamma to 1 for missing completely at random data. |
| lsirm1pl_mar | 1PL LSIRM for missing at random data. |
| lsirm1pl_mar_ss | 1PL LSIRM with model selection approach for missing at random data. |
| lsirm1pl_mcar | 1PL LSIRM for missing completely at random data. |
| lsirm1pl_mcar_ss | 1PL LSIRM with model selection approach for missing completely at random data. |
| lsirm1pl_normal_fixed_gamma | 1PL LSIRM fixing gamma to 1 with normal likelihood |
| lsirm1pl_normal_fixed_gamma_mar | 1PL LSIRM fixing gamma to 1 with normal likelihood for missing at random data. |
| lsirm1pl_normal_fixed_gamma_mcar | 1PL LSIRM fixing gamma to 1 with normal likelihood for missing completely at random data. |
| lsirm1pl_normal_mar | 1PL LSIRM with normal likelihood for missing at random data. |
| lsirm1pl_normal_mar_ss | 1PL LSIRM with normal likelihood and model selection approach for missing at random data. |
| lsirm1pl_normal_mcar | 1PL LSIRM with normal likelihood for missing completely at random data. |
| lsirm1pl_normal_mcar_ss | 1PL LSIRM with normal likelihood and model selection approach for missing completely at random data. |
| lsirm1pl_normal_o | 1PL LSIRM with normal likelihood. |
| lsirm1pl_normal_ss | 1PL LSIRM with normal likelihood and model selection approach. |
| lsirm1pl_o | 1PL LSIRM. |
| lsirm1pl_ss | 1PL LSIRM with model selection approach. |
| lsirm2pl | Fit a 2pl LSIRM for binary and continuous item resopnse data |
| lsirm2pl_fixed_gamma | 2PL LSIRM fixing gamma to 1. |
| lsirm2pl_fixed_gamma_mar | 2PL LSIRM fixing gamma to 1 for missing at random data. |
| lsirm2pl_fixed_gamma_mcar | 2PL LSIRM fixing gamma to 1 for missing completely at random data. |
| lsirm2pl_mar | 2PL LSIRM for missing at random data. |
| lsirm2pl_mar_ss | 2PL LSIRM with model selection approach for missing at random data. |
| lsirm2pl_mcar | 2PL LSIRM for missing completely at random data. |
| lsirm2pl_mcar_ss | 2PL LSIRM with model selection approach for missing completely at random data. |
| lsirm2pl_normal_fixed_gamma | 2PL LSIRM fixing gamma to 1 with normal likelihood |
| lsirm2pl_normal_fixed_gamma_mar | 2PL LSIRM fixing gamma to 1 with normal likelihood for missing at random data. |
| lsirm2pl_normal_fixed_gamma_mcar | 2PL LSIRM fixing gamma to 1 with normal likelihood for missing completely at random data. |
| lsirm2pl_normal_mar | 2PL LSIRM with normal likelihood and missing at random data. |
| lsirm2pl_normal_mar_ss | 2pl LSIRM with normal likelihood and model selection approach for missing at random data. |
| lsirm2pl_normal_mcar | 2PL LSIRM with normal likelihood and missing completely at random data. |
| lsirm2pl_normal_mcar_ss | 2PL LSIRM with normal likelihood and model selection approach for missing completely at random data. |
| lsirm2pl_normal_o | 2PL LSIRM with normal likelihood |
| lsirm2pl_normal_ss | 2PL LSIRM with normal likelihood and model selection approach. |
| lsirm2pl_o | 2PL LSIRM. |
| lsirm2pl_ss | 2PL LSIRM with model selection approach. |
| lsirmgrm | Fit an ordinal LSIRM with the graded response model |
| lsirmgrm2pl | Fit an ordinal LSIRM with the graded response model (2PL) |
| lsirmgrm2pl_fixed_gamma | 2PL GRM LSIRM fixing gamma to 1. |
| lsirmgrm2pl_mar | 2PL GRM LSIRM for missing at random data. |
| lsirmgrm2pl_mcar | 2PL GRM LSIRM for missing completely at random data. |
| lsirmgrm2pl_o | Fit a single-chain ordinal LSIRM (GRM 2PL) |
| lsirmgrm2pl_ss | 2PL GRM LSIRM with spike-and-slab prior. |
| lsirmgrm_fixed_gamma | 1PL GRM LSIRM fixing gamma to 1. |
| lsirmgrm_mar | 1PL GRM LSIRM for missing at random data. |
| lsirmgrm_mcar | 1PL GRM LSIRM for missing completely at random data. |
| lsirmgrm_o | Fit a single-chain ordinal LSIRM (GRM) |
| lsirmgrm_ss | 1PL GRM LSIRM with spike-and-slab prior. |
| onepl | 1PL Rasch model. |
| plot | Plotting the interaction map or summarizing the parameter estimate of fitted LSIRM with box plot. |
| print.summary.lsirm | Print the summary the result of LSIRM |
| summary.lsirm | Summary the result of LSIRM |
| TDRI | Inductive Reasoning Developmental Test |
| twopl | 2PL Rasch model. |