TCIU
1.2.8Spacekime Analytics, Time Complexity and Inferential Uncertainty
Overview
Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. https://www.degruyter.com/view/title/576646. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as Functional magnetic resonance imaging(fMRI) time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
- NOTE2026-04-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0910 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Repository practices
Checks run against github.com/socr/tciu on 2026-08-09.
No development-tooling practices detected in the upstream repository.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2.8Latest
- RR 4.5.0 released · 2025-04-11
- 1.2.72024-09-15 · diff ↗
- 1.2.62024-05-18 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.2.52024-03-08 · diff ↗
- 1.2.42023-10-06 · diff ↗
- unarchivedReturned to CRAN2023-10-06
- archivedRemoved from CRAN2023-05-04issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- 1.2.22023-02-27 · diff ↗
- unarchivedReturned to CRAN2023-02-27
- archivedRemoved from CRAN2022-12-12requires archived package 'spatstat.core'
- 1.2.12022-11-01 · diff ↗
- unarchivedReturned to CRAN2022-11-01
Show 9 earlier events
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-03-15requires archived package 'AnalyzeFMRI'
- RR 4.1.0 released · 2021-05-18
- 1.2.02021-04-30 · diff ↗
- unarchivedReturned to CRAN2021-04-30
- archivedRemoved from CRAN2021-03-28issues were not corrected in time
- 1.1.02020-09-18 · diff ↗
- 1.0.02020-08-27
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-08-27
- Total releases
- 10 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 529 KB / 7 files
- Download size
- 4.4 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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