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GRShiny

Simulation and analysis of GRM with Shiny App

https://github.com/sooyongl/grshiny

Science Score: 26.0%

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    Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Simulation and analysis of GRM with Shiny App

Basic Info
  • Host: GitHub
  • Owner: sooyongl
  • Language: HTML
  • Default Branch: main
  • Homepage:
  • Size: 1.25 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 4 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog

README.md

CRAN status <!-- badges: end -->

GRShiny

Overview

This package is for someone who is familiar with confirmatory factor analysis (CFA), but not with item response theory (IRT). Although CFA is differently developed as opposed to IRT, both methods provide measurement tools to validate the structure of an inventory in the scale development. However, CFA is underutilized, mainly because applied researchers tend not to recognize that CFA and IRT are equivalent with certain types of indicators, such as graded response. To address this underutilization, this package can take and provide lavaan syntax to conduct graded response model under the confirmatory factor analysis framework.

Simulation and analysis of graded response data with different types of estimator can be done with this package. Also, interactive shiny application is provided with graphics for characteristic and information curves.

Install

Install the latest release from CRAN:

r devtools::install_github("sooyongl/GRShiny")

The documentation is available at here.

GRM data simulation

Item parameters for graded response model

r item_pars <- genIRTpar(nitem = 10, ncat = 3, nfac = 1)

Individual true latent traits

r true_theta <- genTheta(nsample = 500, nfac = 1)

GRM data

r grm_dt <- genData(eta = true_theta, ipar = item_pars)

GRM data simulation

Generate lavaan syntax

r lav_syn <- genLavSyn(dat = grm_dt, nfac = 1)

Conduct GRM with two different estimators

``` r runGRM(dat = grmdt, lav.syntax = lavsyn, estimator = "WL")

runGRM(dat = grmdt, lav.syntax = lavsyn, estimator = "ML") ```

Launch app

r startGRshiny()

Owner

  • Name: Sooyong Lee
  • Login: sooyongl
  • Kind: user
  • Location: Texas

GitHub Events

Total
  • Push event: 11
Last Year
  • Push event: 11

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 3
  • Total pull requests: 1
  • Average time to close issues: about 1 hour
  • Average time to close pull requests: less than a minute
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • sooyongl (2)
  • teunbrand (1)
Pull Request Authors
  • sooyongl (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 230 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: GRShiny

Graded Response Model

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 230 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.5%
Dependent repos count: 35.2%
Stargazers count: 35.2%
Average: 43.7%
Downloads: 89.7%
Maintainers (1)
sooyongl09@gmail.com
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • DT * imports
  • MASS * imports
  • bslib * imports
  • data.table * imports
  • dplyr * imports
  • ggplot2 * imports
  • lavaan * imports
  • magrittr * imports
  • mirt * imports
  • purrr * imports
  • readr * imports
  • shiny * imports
  • shinyWidgets * imports
  • shinydashboard * imports
  • shinythemes * imports
  • sirt * imports
  • stats * imports
  • stringr * imports
  • tidyr * imports
  • utils * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests