{"id":32204140,"url":"https://github.com/socr/tciu","last_synced_at":"2025-10-22T04:51:26.895Z","repository":{"id":62389146,"uuid":"188899192","full_name":"SOCR/TCIU","owner":"SOCR","description":"Data Science, Time Complexity and Inferential Uncertainty (TCIU)","archived":false,"fork":false,"pushed_at":"2023-02-27T20:27:26.000Z","size":82290,"stargazers_count":11,"open_issues_count":2,"forks_count":6,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-11T11:51:40.004Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/SOCR.png","metadata":{"files":{"readme":"README.md","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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-05-27T19:33:38.000Z","updated_at":"2024-04-10T13:48:34.000Z","dependencies_parsed_at":"2023-01-22T00:18:40.193Z","dependency_job_id":"fc7a96b6-787a-43a9-b77c-3626206745e6","html_url":"https://github.com/SOCR/TCIU","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SOCR/TCIU","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SOCR%2FTCIU","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SOCR%2FTCIU/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SOCR%2FTCIU/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SOCR%2FTCIU/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SOCR","download_url":"https://codeload.github.com/SOCR/TCIU/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SOCR%2FTCIU/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":280382978,"owners_count":26321423,"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","status":"online","status_checked_at":"2025-10-22T02:00:06.515Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-10-22T04:51:21.543Z","updated_at":"2025-10-22T04:51:26.883Z","avatar_url":"https://github.com/SOCR.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TCIU\n\n**Data Science, Time Complexity and Inferential Uncertainty (TCIU)**\n\n\u003ca href=\"http://socr.umich.edu/TCIU\"\u003e\u003cimg align=\"middle\" src=\"https://raw.githubusercontent.com/SOCR/TCIU/master/images/TCUI_P1.png\"\u003e\u003c/a\u003e\n\nTable of contents\n=================\n\n\u003c!--ts--\u003e\n   * [Table of contents](#table-of-contents)\n   * [Overview](#overview)\n   * [R Code](#r-code)\n   * [Python Code](#python-code)\n   * [Team](#team)\n   * [Acknowledgments](#acknowledgments)\n   * [References](#references)\n\u003c!--te--\u003e\n\n\nOverview\n========\n\nThe [SOCR Data Science Fundamentals project explores new theoretical representation and analytical strategies to understand large and complex data, time complexity and inferential uncertainty](http://www.socr.umich.edu/TCIU/). It utilizes information measures, entropy KL divergence, PDEs, Dirac’s bra-ket operators (\u0026#12296; , \u0026#12297;). This fundamentals of data science research project will explore time-complexity and inferential uncertainty in modeling, analysis and interpretation of large, heterogeneous, multi-source, multi-scale, incomplete, incongruent, and longitudinal data. \n\nR Code\n======\n\nThe examples, demonstrations and simulations are designed, built, implemented and validated in the [R environment](https://www.r-project.org). \n\nThe source R code for the package is in the [package (TCIU) folder](https://github.com/SOCR/TCIU/tree/master/package).\n\nThe source RMarkdown code for the website is in the [website folder](https://github.com/SOCR/TCIU/tree/master/website).\n\nTo interactively run of the demo code, following a [TCIU package installation](https://github.com/SOCR/TCIU/tree/master/package/TCIU), use the following command in the R console/shell:\n```{r}\nlibrary(\"TCIU\")\ndemo(fmri_demo_func, package=\"TCIU\")\n```\n\nPython Code\n===========\n\nAn early (pilot) version of a Python implementaiton of the TCIU package will be available in the [package (TCIU_python) folder](https://github.com/SOCR/TCIU/tree/master/package/TCIU_python). This is still under development and valudation ...\n\n\nTeam\n====\n\n[SOCR Team](http://www.socr.umich.edu/people/) including [Ivo D. Dinov](https://umich.edu/~dinov), [Milen V. Velev](https://www.socr.umich.edu/people/Milen_Velev.html), [Yongkai Qiu](https://www.socr.umich.edu/people/Yongkai_Qiu.html), [Zhe Yin](https://www.socr.umich.edu/people/Zhe_Yin.html), Yufei Yang, Yunjie Guo, Yupeng Zhang, Rongqian Zhang, Yuyao Liu, Jinwen Cao, Zijing Li, Daxuan Deng, [Yueyang Shen](https://www.socr.umich.edu/people/SOCR_Personnel_Yueyang.html), and others.\n\nAcknowledgments\n===============\n\nThis work is supported in part by NIH grants [P20 NR015331](www.socr.umich.edu/CSCD), [UL1TR002240](https://projectreporter.nih.gov/project_info_description.cfm?aid=9491961\u0026icde=39078316), [P30 DK089503](http://mmoc.med.umich.edu/), [UL1TR002240](https://www.michr.umich.edu), and NSF grants [1916425](http://midas.umich.edu/), [1734853](http://brain-life.org/), [1636840](http://neurosciencenetwork.org/), [1416953](http://distributome.org), [0716055](http://socr.umich.edu) and [1023115](http://distributome.org). Students, trainees, scholars, and researchers from SOCR, BDDS, MNORC, MIDAS, MADC, MICHR, and the broad R-statistical computing community have contributed ideas, code, and support.\n\nReferences\n==========\n\n* Dinov, ID and Velev, MV (2021) [Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics](https://www.degruyter.com/view/title/576646), De Gruyter STEM Series, Berlin/Boston, ISBN 9783110697803 / 3110697807. \n* Wang, Y, Shen Y, Deng, D, Dinov, ID. (2022) [Determinism, Well-posedness, and Applications of the Ultrahyperbolic Wave Equation in Spacekime](https://doi.org/10.1016/j.padiff.2022.100280), Journal of Partial Differential Equations in Applied Mathematics, DOI: [10.1016/j.padiff.2022.100280](https://doi.org/10.1016/j.padiff.2022.100280), in press. \n* Zhang, R, Zhang, Y, Liu, Y, Guo, Y, Shen, Y, Deng, D, Qiu, Y, Dinov, ID. (2022) [Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data](https://doi.org/10.1007/s00521-021-06789-8), Neural Computing and Applications Journal, DOI: 10.1007/s00521-021-06789-8, \u003ci\u003ein press\u003c/i\u003e. \n* [TCIU Website](https://tciu.predictive.space/).\n* [Spacekime](https://Spacekime.org).\n* [TSPlotly package on CRAN](https://cran.r-project.org/web/packages/TSplotly/index.html).\n* [TCIU package on CRAN](https://cran.r-project.org/web/packages/TCIU/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsocr%2Ftciu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsocr%2Ftciu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsocr%2Ftciu/lists"}