# Latent Space Item Response Model

## Documentation for package ‘lsirm12pl’ version 2.0.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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 response 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_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_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.