{"id":16178643,"url":"https://github.com/jeksterslab/ctmed","last_synced_at":"2025-04-01T20:31:00.621Z","repository":{"id":229097165,"uuid":"774146717","full_name":"jeksterslab/cTMed","owner":"jeksterslab","description":"Calculates standard errors and confidence intervals for effects in continuous-time mediation models.","archived":false,"fork":false,"pushed_at":"2025-02-24T18:22:37.000Z","size":1833022,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-15T19:41:19.790Z","etag":null,"topics":["centrality","continuous-time","delta-method","mediation","monte-carlo-method","network","r","r-package"],"latest_commit_sha":null,"homepage":"https://jeksterslab.github.io/cTMed/","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jeksterslab.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-03-19T02:47:59.000Z","updated_at":"2025-02-24T16:48:38.000Z","dependencies_parsed_at":"2024-04-14T01:25:06.970Z","dependency_job_id":"0b90dc70-fbf2-422c-9c01-0a32b86392e4","html_url":"https://github.com/jeksterslab/cTMed","commit_stats":{"total_commits":129,"total_committers":3,"mean_commits":43.0,"dds":"0.48062015503875966","last_synced_commit":"01faab61f35e82febef32fc7f35f4525f80d3837"},"previous_names":["jeksterslab/ctmed"],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeksterslab%2FcTMed","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeksterslab%2FcTMed/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeksterslab%2FcTMed/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeksterslab%2FcTMed/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jeksterslab","download_url":"https://codeload.github.com/jeksterslab/cTMed/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246651563,"owners_count":20811994,"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":["centrality","continuous-time","delta-method","mediation","monte-carlo-method","network","r","r-package"],"created_at":"2024-10-10T05:14:11.217Z","updated_at":"2025-04-01T20:30:55.611Z","avatar_url":"https://github.com/jeksterslab.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"cTMed\n================\nIvan Jacob Agaloos Pesigan\n2024-10-22\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n\u003c!-- badges: start --\u003e\n\n[![CRAN\nStatus](https://www.r-pkg.org/badges/version/cTMed)](https://cran.r-project.org/package=cTMed)\n[![R-Universe\nStatus](https://jeksterslab.r-universe.dev/badges/cTMed)](https://jeksterslab.r-universe.dev/cTMed)\n[![Make\nProject](https://github.com/jeksterslab/cTMed/actions/workflows/make.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/make.yml)\n[![R-CMD-check](https://github.com/jeksterslab/cTMed/actions/workflows/check-full.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/check-full.yml)\n[![R Package Test\nCoverage](https://github.com/jeksterslab/cTMed/actions/workflows/test-coverage.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/test-coverage.yml)\n[![Lint R\nPackage](https://github.com/jeksterslab/cTMed/actions/workflows/lint.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/lint.yml)\n[![Package Website (GitHub\nPages)](https://github.com/jeksterslab/cTMed/actions/workflows/pkgdown-gh-pages.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/pkgdown-gh-pages.yml)\n[![Compile\nLaTeX](https://github.com/jeksterslab/cTMed/actions/workflows/latex.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/latex.yml)\n[![Shell\nCheck](https://github.com/jeksterslab/cTMed/actions/workflows/shellcheck.yml/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/shellcheck.yml)\n[![pages-build-deployment](https://github.com/jeksterslab/cTMed/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/jeksterslab/cTMed/actions/workflows/pages/pages-build-deployment)\n[![codecov](https://codecov.io/gh/jeksterslab/cTMed/branch/main/graph/badge.svg?token=KVLUET3DJ6)](https://codecov.io/gh/jeksterslab/cTMed)\n\u003c!-- badges: end --\u003e\n\n## Description\n\nCalculates standard errors and confidence intervals for effects in\ncontinuous time mediation models.\n\n## Installation\n\nYou can install the development version of `cTMed` from\n[GitHub](https://github.com/jeksterslab/cTMed) with:\n\n``` r\nif (!require(\"remotes\")) install.packages(\"remotes\")\nremotes::install_github(\"jeksterslab/cTMed\")\n```\n\n## Documentation\n\nSee [GitHub Pages](https://jeksterslab.github.io/cTMed/index.html) for\npackage documentation.\n\n## References\n\n\u003cdiv id=\"refs\" class=\"references csl-bib-body hanging-indent\"\nentry-spacing=\"0\" line-spacing=\"2\"\u003e\n\n\u003cdiv id=\"ref-Bollen-1987\" class=\"csl-entry\"\u003e\n\nBollen, K. A. (1987). Total, direct, and indirect effects in structural\nequation models. *Sociological Methodology*, *17*, 37.\n\u003chttps://doi.org/10.2307/271028\u003e\n\n\u003c/div\u003e\n\n\u003cdiv id=\"ref-Deboeck-Preacher-2015\" class=\"csl-entry\"\u003e\n\nDeboeck, P. R., \u0026 Preacher, K. J. (2015). No need to be discrete: A\nmethod for continuous time mediation analysis. *Structural Equation\nModeling: A Multidisciplinary Journal*, *23*(1), 61–75.\n\u003chttps://doi.org/10.1080/10705511.2014.973960\u003e\n\n\u003c/div\u003e\n\n\u003cdiv id=\"ref-RCoreTeam-2024\" class=\"csl-entry\"\u003e\n\nR Core Team. (2024). *R: A language and environment for statistical\ncomputing*. R Foundation for Statistical Computing.\n\u003chttps://www.R-project.org/\u003e\n\n\u003c/div\u003e\n\n\u003cdiv id=\"ref-Ryan-Hamaker-2021\" class=\"csl-entry\"\u003e\n\nRyan, O., \u0026 Hamaker, E. L. (2021). Time to intervene: A continuous-time\napproach to network analysis and centrality. *Psychometrika*, *87*(1),\n214–252. \u003chttps://doi.org/10.1007/s11336-021-09767-0\u003e\n\n\u003c/div\u003e\n\n\u003cdiv id=\"ref-Wang-Zhang-2020\" class=\"csl-entry\"\u003e\n\nWang, L., \u0026 Zhang, Q. (2020). Investigating the impact of the time\ninterval selection on autoregressive mediation modeling: Result\ninterpretations, effect reporting, and temporal designs. *Psychological\nMethods*, *25*(3), 271–291. \u003chttps://doi.org/10.1037/met0000235\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeksterslab%2Fctmed","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeksterslab%2Fctmed","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeksterslab%2Fctmed/lists"}