lsasim

Simulate large scale assessment data

https://github.com/tmatta/lsasim

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 10 committers (30.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Simulate large scale assessment data

Basic Info
  • Host: GitHub
  • Owner: tmatta
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 1.38 MB
Statistics
  • Stars: 6
  • Watchers: 4
  • Forks: 5
  • Open Issues: 13
  • Releases: 11
Created almost 10 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.md

Current CRAN release R-CMD-check

LSASIM

Overall aim: to simulate data that mimics large-scale assessments (LSAs), including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. With specified correlations between background data and latent cognitive traits, the package also has functionality for theoretical and Monte Carlo regression coefficients for the effect of background data on the latent trait. This package was created as part of the Embracing Heterogeneity Project.

Development team

  • Tyler Matta
  • Yuan-Ling Linda Liaw
  • Leslie Rutkowski
  • David Rutkowski
  • Kondwani Kajera Mughogho
  • Waldir Leoncio

License

In the spirit of the open science movement, lsasim (pronounced "LSA-sim") is a free and open source software, licensed under the GNU General Public License v3.0. Contributions to the package are welcome, and we recommend you contact us if you're interested in doing so.

Installation

The latest official, stable version of lsasim is available on CRAN and can be installed like any other R package, i.e. by issuing the following command in your R prompt:

install.packages("lsasim")

lsasim's GitHub repository is the central location for development of the package. Stable and test versions of lsasim can be built from this repository, but they are to be considered unstable and are not guaranteed to work properly. The development team has several coding standards and testing procedures in place to avoid issues at any branch, but unless you know what you are doing, we recommend you stick with the CRAN version of our package.

To install lsasim from GitHub, first make sure you have an up-to-date version of the remotes package installed in your machine. Then, run the following command in you R terminal:

remotes::install_github("tmatta/lsasim", ref = "master") # "ref" can be any branch, tag or commit

Package releases can also be downloaded as compressed files from https://github.com/tmatta/lsasim/releases. These files can be installed in R using the install.packages() command with the downloaded file path as argument.

Usage

There are several sources of information that help a user get started with lsasim and discover its most important features. The package's official repository hosts a Wiki; Once lsasim is installed in your machine, you can also issue the command help("lsasim")—or ?lsasim for short—to learn more about the package in general. You can also use the help() or ? functions to access the documentation for a specific function, for example ?questionnaire_gen. Some functions such as beta_gen contain equations, which will be displayed when calling help("beta_gen"); however, proper formatting of the equations can be seen by running help("beta_gen", help_type = "PDF") and opening the beta_gen.pdf file that is created in your working directory.

This package contains vignettes. If you are installing lsasim from GitHub, remember to include build_vignettes=TRUE in your remotes::install_github() call. Afterwards, you can browse the vignettes by issuing browseVignettes("lsasim") in your R terminal.

Reporting bugs and requesting features

Bugs should be reported by creating a new issue on https://github.com/tmatta/lsasim/issues. For feature requests, please use this form. If you would rather contribute with source code yourself, please fork the project and issue a pull request when you are ready to have us review your contribution.

Owner

  • Name: Tyler Matta
  • Login: tmatta
  • Kind: user

GitHub Events

Total
  • Create event: 2
  • Release event: 1
  • Issues event: 2
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 4
Last Year
  • Create event: 2
  • Release event: 1
  • Issues event: 2
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 1,028
  • Total Committers: 10
  • Avg Commits per committer: 102.8
  • Development Distribution Score (DDS): 0.099
Past Year
  • Commits: 13
  • Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Waldir Leoncio w****o@g****m 926
Tyler Matta t****1@g****m 45
Waldir Leoncio w****o@m****o 43
progi_adm p****m 8
Paul Bailey p****y@a****g 1
Leslie Rutkowski l****i@g****m 1
ylinglw l****8@u****u 1
Yuan-Ling Liaw y****l@u****o 1
Kondwani Mughogho K****4 1
Sinan Yavuz S****z 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 47
  • Total pull requests: 4
  • Average time to close issues: 3 months
  • Average time to close pull requests: 13 days
  • Total issue authors: 6
  • Total pull request authors: 3
  • Average comments per issue: 1.87
  • Average comments per pull request: 0.75
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 4 months
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • wleoncio (36)
  • ylinglw (5)
  • Sinan-Yavuz (2)
  • mollyolaf (1)
  • tmatta (1)
  • pdbailey0 (1)
Pull Request Authors
  • wleoncio (2)
  • mollyolaf (1)
  • lindaliaw (1)
Top Labels
Issue Labels
enhancement (23) bug (9) help wanted (4) papercut (3) question (1) wontfix (1)
Pull Request Labels
enhancement (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 359 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 12
  • Total maintainers: 1
cran.r-project.org: lsasim

Functions to Facilitate the Simulation of Large Scale Assessment Data

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 359 Last month
Rankings
Forks count: 14.9%
Stargazers count: 22.5%
Average: 29.3%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 43.9%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • cli * imports
  • methods * imports
  • mvtnorm * imports
  • polycor * imports
  • formatR * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite