{"id":23069518,"url":"https://github.com/tmsalab/edmcore","last_synced_at":"2025-04-03T09:46:10.165Z","repository":{"id":47495982,"uuid":"119568138","full_name":"tmsalab/edmcore","owner":"tmsalab","description":"🚨[WIP]🚨Classes and Algorithms used across Exploratory Diagnostic Modeling Framework","archived":false,"fork":false,"pushed_at":"2021-08-29T06:18:21.000Z","size":381,"stargazers_count":0,"open_issues_count":3,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T16:48:04.169Z","etag":null,"topics":["cdm","cognitive-diagnostic-models","psychometrics","r"],"latest_commit_sha":null,"homepage":"https://tmsalab.github.io/edmcore","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tmsalab.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-01-30T17:12:15.000Z","updated_at":"2021-08-29T03:40:25.000Z","dependencies_parsed_at":"2022-09-06T08:12:02.624Z","dependency_job_id":null,"html_url":"https://github.com/tmsalab/edmcore","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tmsalab%2Fedmcore","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tmsalab%2Fedmcore/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tmsalab%2Fedmcore/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tmsalab%2Fedmcore/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tmsalab","download_url":"https://codeload.github.com/tmsalab/edmcore/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246981136,"owners_count":20863825,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cdm","cognitive-diagnostic-models","psychometrics","r"],"created_at":"2024-12-16T06:15:48.043Z","updated_at":"2025-04-03T09:46:10.140Z","avatar_url":"https://github.com/tmsalab.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n# edmcore\n\n\u003c!-- badges: start --\u003e\n[![R build status](https://github.com/tmsalab/edmcore/workflows/R-CMD-check/badge.svg)](https://github.com/tmsalab/edmcore/actions)\n[![Package-License](http://img.shields.io/badge/license-GPL%20\\(%3E=2\\)-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)\n[![Codecov test coverage](https://codecov.io/gh/tmsalab/edmcore/branch/master/graph/badge.svg)](https://codecov.io/gh/tmsalab/edmcore?branch=master)\n\u003c!-- badges: end --\u003e\n\nThe goal of `edmcore` is to house a set of functions shared by many packages\nwithin the exploratory cognitive diagnostic modeling framework.\n\n## Installation\n\nYou can install the released version of edmcore from [CRAN](https://CRAN.R-project.org) with:\n\n``` r\ninstall.packages(\"edmcore\")\n```\n\nAnd the development version from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"tmsalab/edmcore\")\n```\n\n## Usage\n\nTo use `edmcore`, load the package using:\n\n``` r\nlibrary(\"edmcore\")\n```\n\n## Overview\n\nThe package contains class structure shared between different estimation\nunits.\n\nIn particular, we have: \n\n- EDM Classes\n  - `new_edm_model()`, `new_edm_summary()`, and `new_edm_default_property_list()`.\n- Attributes\n  - `attribute_classes()`, `attribute_bijection()`, `attribute_inv_bijection()`, `attribute_gen_bijection()`, and `attribute_inv_gen_bijection()`.\n- Q Matrix\n  - `q_matrix()`/`as_q_matrix()`, `read_q_matrix()`, `is_q_matrix()`, `is_q_strict()`, and\n    `is_q_generic()`.\n- Item Matrix\n  - `item_matrix()`/`as_item_matrix()`, `read_item_matrix()`, and `is_item_matrix()`.\n- Metrics\n  - `metric_mode()`, `metric_bias()`, `metric_frobenius_norm()`, `metric_element_wise()`, and\n    `metric_matrix_wise()`.\n- Permutations \n- Link Functions\n  - `link_probit()`, `link_probit_inv()`, `link_logit()`, `link_logit_inv()`,\n    `theta_to_beta()`, `theta_probit_to_beta()`, and `theta_logit_to_beta()`.\n\n## Authors\n\nJames Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey Douglas\n\n## Citing the `edmcore` package\n\nTo ensure future development of the package, please cite `edmcore`\npackage if used during the analysis or simulations. Citation information\nfor the package may be acquired by using in *R*:\n\n``` r\ncitation(\"edmcore\")\n```\n\n## License\n\nGPL (\\\u003e= 2)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftmsalab%2Fedmcore","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftmsalab%2Fedmcore","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftmsalab%2Fedmcore/lists"}