Science Score: 13.0%
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○CITATION.cff file
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✓DOI references
Found 8 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (10.2%) to scientific vocabulary
Repository
Data Science, Time Complexity and Inferential Uncertainty (TCIU)
Basic Info
- Host: GitHub
- Owner: SOCR
- Language: R
- Default Branch: master
- Size: 78.5 MB
Statistics
- Stars: 11
- Watchers: 1
- Forks: 6
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
TCIU
Data Science, Time Complexity and Inferential Uncertainty (TCIU)
Table of contents
Overview
The SOCR Data Science Fundamentals project explores new theoretical representation and analytical strategies to understand large and complex data, time complexity and inferential uncertainty. It utilizes information measures, entropy KL divergence, PDEs, Dirac’s bra-ket operators (〈 , 〉). 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.
R Code
The examples, demonstrations and simulations are designed, built, implemented and validated in the R environment.
The source R code for the package is in the package (TCIU) folder.
The source RMarkdown code for the website is in the website folder.
To interactively run of the demo code, following a TCIU package installation, use the following command in the R console/shell:
{r}
library("TCIU")
demo(fmri_demo_func, package="TCIU")
Python Code
An early (pilot) version of a Python implementaiton of the TCIU package will be available in the package (TCIU_python) folder. This is still under development and valudation ...
Team
SOCR Team including Ivo D. Dinov, Milen V. Velev, Yongkai Qiu, Zhe Yin, Yufei Yang, Yunjie Guo, Yupeng Zhang, Rongqian Zhang, Yuyao Liu, Jinwen Cao, Zijing Li, Daxuan Deng, Yueyang Shen, and others.
Acknowledgments
This work is supported in part by NIH grants P20 NR015331, UL1TR002240, P30 DK089503, UL1TR002240, and NSF grants 1916425, 1734853, 1636840, 1416953, 0716055 and 1023115. 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.
References
- Dinov, ID and Velev, MV (2021) Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics, De Gruyter STEM Series, Berlin/Boston, ISBN 9783110697803 / 3110697807.
- Wang, Y, Shen Y, Deng, D, Dinov, ID. (2022) Determinism, Well-posedness, and Applications of the Ultrahyperbolic Wave Equation in Spacekime, Journal of Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2022.100280, in press.
- 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, Neural Computing and Applications Journal, DOI: 10.1007/s00521-021-06789-8, in press.
- TCIU Website.
- Spacekime.
- TSPlotly package on CRAN.
- TCIU package on CRAN.
Owner
- Name: SOCR
- Login: SOCR
- Kind: organization
- Location: University of Michigan, Ann Arbor, MI, USA
- Website: https://www.socr.umich.edu
- Repositories: 66
- Profile: https://github.com/SOCR
The Statistics Online Computational Resource (SOCR)
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 1
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 11 days
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 2.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- teunbrand (1)
Pull Request Authors
- CommanderPho (1)
- rubak (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 161 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 1
cran.r-project.org: TCIU
Spacekime Analytics, Time Complexity and Inferential Uncertainty
- Homepage: https://github.com/SOCR/TCIU
- Documentation: http://cran.r-project.org/web/packages/TCIU/TCIU.pdf
- License: GPL-3
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Latest release: 1.2.7
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.5.0 depends
- AnalyzeFMRI * imports
- DT * imports
- ICSNP * imports
- MultiwayRegression * imports
- RColorBrewer * imports
- cubature * imports
- doParallel * imports
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- extraDistr * imports
- fancycut * imports
- fmri * imports
- foreach * imports
- forecast * imports
- geometry * imports
- ggplot2 * imports
- ggpubr * imports
- gridExtra * imports
- parallel * imports
- plotly * imports
- pracma * imports
- reshape2 * imports
- rrcov * imports
- scales * imports
- spatstat.core * imports
- spatstat.geom * imports
- stats * imports
- tidyr * imports
- zoo * imports
- knitr * suggests
- magrittr * suggests
- oro.nifti * suggests
- rmarkdown * suggests
- webshot * suggests
- R >= 3.4.0 depends
- forecast * imports
- ggplot2 * imports
- plotly * imports
- zoo * imports
- knitr * suggests
- prettydoc * suggests
- rmarkdown * suggests
- R >= 3.4.0 depends