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lsirm12pl  

Latent Space Item Response Model
View on CRAN: Click here


Download and install lsirm12pl package within the R console
Install from CRAN:
install.packages("lsirm12pl")

Install from Github:
library("remotes")
install_github("cran/lsirm12pl")

Install by package version:
library("remotes")
install_version("lsirm12pl", "1.3.4")



Attach the package and use:
library("lsirm12pl")
Maintained by
Jina Park
[Scholar Profile | Author Map]
First Published: 2022-02-22
Latest Update: 2023-06-22
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.
How to cite:
Jina Park (2022). lsirm12pl: Latent Space Item Response Model. R package version 1.3.4, https://cran.r-project.org/web/packages/lsirm12pl. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-02-22 20:50), 1.0.1 (2022-04-16 09:32), 1.0.2 (2022-10-11 15:30), 1.1.0 (2022-10-18 10:40), 1.2.0 (2023-03-31 15:40), 1.3.0 (2023-06-11 13:20), 1.3.1 (2023-06-22 16:12), 1.3.2 (2024-07-29 11:10), 1.3.3 (2024-08-29 01:00)
Other packages that cited lsirm12pl R package
View lsirm12pl citation profile
Other R packages that lsirm12pl depends, imports, suggests or enhances
Complete documentation for lsirm12pl
Functions, R codes and Examples using the lsirm12pl R package
Some associated functions: BFPT . TDRI . diagnostic . gof . lsirm.formula . lsirm . lsirm12pl . lsirm1pl . lsirm1pl_fixed_gamma . lsirm1pl_fixed_gamma_mar . lsirm1pl_fixed_gamma_mcar . lsirm1pl_mar . lsirm1pl_mar_ss . lsirm1pl_mcar . lsirm1pl_mcar_ss . lsirm1pl_normal . lsirm1pl_normal_fixed_gamma . lsirm1pl_normal_fixed_gamma_mar . lsirm1pl_normal_fixed_gamma_mcar . lsirm1pl_normal_mar . lsirm1pl_normal_mar_ss . lsirm1pl_normal_mcar . lsirm1pl_normal_mcar_ss . lsirm1pl_normal_o . lsirm1pl_normal_ss . lsirm1pl_o . lsirm1pl_ss . lsirm2pl . lsirm2pl_fixed_gamma . lsirm2pl_fixed_gamma_mar . lsirm2pl_fixed_gamma_mcar . lsirm2pl_mar . lsirm2pl_mar_ss . lsirm2pl_mcar . lsirm2pl_mcar_ss . lsirm2pl_normal . lsirm2pl_normal_fixed_gamma . lsirm2pl_normal_fixed_gamma_mar . lsirm2pl_normal_fixed_gamma_mcar . lsirm2pl_normal_mar . lsirm2pl_normal_mar_ss . lsirm2pl_normal_mcar . lsirm2pl_normal_mcar_ss . lsirm2pl_normal_o . lsirm2pl_normal_ss . lsirm2pl_o . lsirm2pl_ss . onepl . plot.lsirm . print.summary.lsirm . summary.lsirm . twopl . 
Some associated R codes: RcppExports.R . data.R . diagnostic.lsirm.R . gof.lsirm.R . lsirm.R . lsirm12pl-package.R . lsirm1pl_fixed_gamma.R . lsirm1pl_fixed_gamma_mar.R . lsirm1pl_fixed_gamma_mcar.R . lsirm1pl_mar.R . lsirm1pl_mar_ss.R . lsirm1pl_mcar.R . lsirm1pl_mcar_ss.R . lsirm1pl_normal.R . lsirm1pl_normal_fixed_gamma.R . lsirm1pl_normal_fixed_gamma_mar.R . lsirm1pl_normal_fixed_gamma_mcar.R . lsirm1pl_normal_mar.R . lsirm1pl_normal_mar_ss.R . lsirm1pl_normal_mcar.R . lsirm1pl_normal_mcar_ss.R . lsirm1pl_normal_o.R . lsirm1pl_normal_ss.R . lsirm1pl_o.R . lsirm1pl_ss.R . lsirm2pl_fixed_gamma.R . lsirm2pl_fixed_gamma_mar.R . lsirm2pl_fixed_gamma_mcar.R . lsirm2pl_mar.R . lsirm2pl_mar_ss.R . lsirm2pl_mcar.R . lsirm2pl_mcar_ss.R . lsirm2pl_normal.R . lsirm2pl_normal_fixed_gamma.R . lsirm2pl_normal_fixed_gamma_mar.R . lsirm2pl_normal_fixed_gamma_mcar.R . lsirm2pl_normal_mar.R . lsirm2pl_normal_mar_ss.R . lsirm2pl_normal_mcar.R . lsirm2pl_normal_mcar_ss.R . lsirm2pl_normal_o.R . lsirm2pl_normal_ss.R . lsirm2pl_o.R . lsirm2pl_ss.R . onepl.R . plot.lsirm.R . print.summary.R . print.summary.lsirm.R . roc.R . summary.lsirm.R . twopl.R . utilities.R .  Full lsirm12pl package functions and examples
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