ggkodom
Visualize Individual Longitudinal Trajectories
Description
A 'ggplot2'-based toolkit for visualizing individual-level longitudinal trajectories. Creates linear kodom plots, circular kodom plots, heatmaps, and state-ribbon charts for repeated-measures data. Each subject gets its own visual lane with measurements colored by value, revealing patterns across subjects and time. The circular variant resembles the Kodom flower.
Downloads
268
Last 30 days
17462nd
268
Last 90 days
268
Last year
5
Last 7 days
5
Last 30 days
1
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 21, 2026
Code
Structure
Lines of code
4,689
Files
63
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
15
Internal functions
6
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.88
testthat edition
3
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
100%
\dontrun example ratio
92.3%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
Yes
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
33.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-06-20
Latest release
2026-06-20
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.