Latent Space Item Response Model


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Documentation for package ‘lsirm12pl’ version 2.0.0

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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.