CNORdt
Bioc currentAdd-on to CellNOptR: Discretized time treatments
Release Lineage
Entered 2.11 · Oct 3, 2012
Current · Requires R 4.6
Description
This add-on to the package CellNOptR handles time-course data, as opposed to steady state data in CellNOptR. It scales the simulation step to allow comparison and model fitting for time-course data. Future versions will optimize delays and strengths for each edge.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
10 6 exported
Complexity
6.2 avg / 13 max
Call network
10 nodes / 11 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
1,749
Files
25
Compiled share
23.6%
Has compiled src
Yes
Language breakdown
API
Exported functions
6
Internal functions
3
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
50%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
1.8.0
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
28
First release
2012-10-01
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 38%
Datasets
| Name | Class | Rows × Cols | Also in |
|---|---|---|---|
| CNOlistPB | list | – | No other package |
| ToyModelPB | data.frame | 160 × 17 | No other package |
| modelPB | list | – | 3 packages |
Topics
People
A. MacNamara
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CNORdt")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.