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lsirm12pl (version 1.3.4)

Latent Space Item Response Model

Description

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.

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Version

Install

install.packages('lsirm12pl')

Monthly Downloads

263

Version

1.3.4

License

GPL-3

Maintainer

Gwanghee Kim

Last Published

March 6th, 2025

Functions in lsirm12pl (1.3.4)

lsirm1pl_fixed_gamma_mcar

1PL LSIRM fixing gamma to 1 for missing completely at random data.

lsirm1pl_normal_mar

1PL LSIRM with normal likelihood for missing at random data.

1PL LSIRM 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_fixed_gamma_mar

1PL LSIRM fixing gamma to 1 with normal likelihood for missing 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_mar_ss

1PL LSIRM with normal likelihood and model selection approach for missing at random data.

lsirm1pl_mar_ss

1PL LSIRM with model selection approach for missing at random data.

1PL LSIRM for missing completely at random data.

lsirm2pl_fixed_gamma

2PL LSIRM fixing gamma to 1.

Fit a 2pl LSIRM for binary and continuous item resopnse data

lsirm1pl_normal_mcar

1PL LSIRM with normal likelihood for missing completely at random data.

lsirm1pl_normal_o

1PL LSIRM with normal likelihood.

lsirm2pl_fixed_gamma_mcar

2PL LSIRM fixing gamma to 1 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.

lsirm2pl_fixed_gamma_mar

2PL LSIRM fixing gamma to 1 for missing at random data.

lsirm1pl_normal_ss

1PL LSIRM with normal likelihood and model selection approach.

1PL LSIRM with model selection approach.

lsirm2pl_normal_fixed_gamma

2PL LSIRM fixing gamma to 1 with normal likelihood

lsirm2pl_normal_mar_ss

2pl LSIRM with normal likelihood and model selection approach for missing at random data.

2PL LSIRM for missing completely at random data.

lsirm2pl_mcar_ss

2PL LSIRM with model selection approach for missing completely at random data.

lsirm2pl_mar_ss

2PL LSIRM with model selection approach for missing at random data.

2PL LSIRM for missing at random data.

lsirm2pl_normal_mcar

2PL LSIRM with normal likelihood and missing completely at random data.

lsirm2pl_normal_fixed_gamma_mar

2PL LSIRM fixing gamma to 1 with normal likelihood for missing at random data.

lsirm2pl_normal_mcar_ss

2PL LSIRM with normal likelihood and model selection approach for missing completely at random data.

lsirm2pl_normal_ss

2PL LSIRM with normal likelihood and model selection approach.

lsirm2pl_normal_mar

2PL LSIRM with normal likelihood and missing at random data.

2PL LSIRM with model selection approach.

lsirm2pl_normal_fixed_gamma_mcar

2PL LSIRM fixing gamma to 1 with normal likelihood for missing completely at random data.

1PL Rasch model.

lsirm2pl_normal_o

2PL LSIRM with normal likelihood

Plotting the interaction map or summarizing the parameter estimate of fitted LSIRM with box plot.

Summary the result of LSIRM

2PL Rasch model.

print.summary.lsirm

Print the summary the result of LSIRM

Big Five Personality Test

lsirm12pl-package

lsirm1pl_fixed_gamma

1PL LSIRM fixing gamma to 1.

Inductive Reasoning Developmental Test

Fit a LSIRM ( Latent Space Item Response Model)

Formula function for LSIRM

lsirm1pl_fixed_gamma_mar

1PL LSIRM fixing gamma to 1 for missing at random data.

Fit a 1PL LSIRM for binary and continuous item response data

Diagnostic the result of LSIRM.

Goodness-of-fit LSIRM