Package: codyna 0.2.0
codyna: Complex Dynamic Systems
Performs analysis of complex dynamic systems with a focus on the temporal unfolding of patterns, changes, and state transitions in behavioral data. Supports both time series and sequence data and provides tools for the analysis and visualization of complexity, pattern identification, trends, regimes, sequence typology as well as early warning signals.
Authors:
codyna_0.2.0.tar.gz
codyna_0.2.0.zip(r-4.7)codyna_0.2.0.zip(r-4.6)codyna_0.2.0.zip(r-4.5)
codyna_0.2.0.tgz(r-4.6-any)codyna_0.2.0.tgz(r-4.5-any)
codyna_0.2.0.tar.gz(r-4.7-any)codyna_0.2.0.tar.gz(r-4.6-any)
codyna_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
codyna/json (API)
NEWS
| # Install 'codyna' in R: |
| install.packages('codyna', repos = c('https://santikka.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/santikka/codyna/issues
- ema - Ecological Momentary Assessment (EMA) Data
- engagement - Example Data on Student Engagement
- group_regulation - Example Data on Group Regulation
Last updated from:1b1ce172a1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 147 | ||
| source / vignettes | OK | 195 | ||
| linux-release-x86_64 | OK | 131 | ||
| macos-release-arm64 | OK | 158 | ||
| macos-oldrel-arm64 | OK | 187 | ||
| windows-devel | OK | 96 | ||
| windows-release | OK | 81 | ||
| windows-oldrel | OK | 131 | ||
| wasm-release | OK | 112 |
Exports:analyze_outcomecomplexityconvertdetect_regimesdetect_warningsdiscover_patternssequence_indices
Dependencies:backportscheckmateclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpatchworkpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'codyna' Package. | codyna-package codyna |
| Analyze Pattern-Outcome Relationships | analyze_outcome |
| Calculate Dynamic Complexity Measures for Time-Series Data | complexity |
| Convert Sequence Data to Various Formats | convert |
| Regime Detection for Time Series Data | detect_regimes |
| Detect Early Warning Signals in a Time Series | detect_warnings |
| Discover Sequence Patterns | discover_patterns |
| Ecological Momentary Assessment (EMA) Data | ema |
| Example Data on Student Engagement | engagement |
| Example Data on Group Regulation | group_regulation |
| Plot EWS Results | plot.ews |
| Plot Discovered Patterns | plot.patterns |
| Plot Time Series Data with Detected Regime Stability | plot.regimes |
| Print EWS Detection Results | print.ews |
| Print Discovered Patterns | print.patterns |
| Print Regime Detection Results | print.regimes |
| Compute Sequence Indices for Sequence Data | sequence_indices |
