The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. 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.
Version: | 1.3.2 |
Depends: | R (≥ 3.1.0) |
Imports: | Rcpp (≥ 1.0.5), MCMCpack, ggplot2, GPArotation, dplyr (≥ 1.1.4), grDevices, rlang, pROC, coda, spatstat, spatstat.geom, spatstat.random, plotly, gridExtra, grid, tidyr, fpc, kernlab, plyr, purrr |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, testthat |
Published: | 2024-07-29 |
DOI: | 10.32614/CRAN.package.lsirm12pl |
Author: | Dongyoung Go [aut], Gwanghee Kim [aut], Jina Park [aut, cre], Ickhoon Jin [ctb], Minjeong Jeon [ctb] |
Maintainer: | Jina Park <pja0707 at yonsei.ac.kr> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | lsirm12pl results |
Reference manual: | lsirm12pl.pdf |
Package source: | lsirm12pl_1.3.2.tar.gz |
Windows binaries: | r-devel: lsirm12pl_1.3.2.zip, r-release: lsirm12pl_1.3.2.zip, r-oldrel: lsirm12pl_1.3.2.zip |
macOS binaries: | r-release (arm64): lsirm12pl_1.3.2.tgz, r-oldrel (arm64): lsirm12pl_1.3.2.tgz, r-release (x86_64): lsirm12pl_1.3.2.tgz, r-oldrel (x86_64): lsirm12pl_1.3.2.tgz |
Old sources: | lsirm12pl archive |
Please use the canonical form https://CRAN.R-project.org/package=lsirm12pl to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.