vpc
1.2.4Create Visual Predictive Checks
Overview
Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Repository
Stars over time
Forks over time
Releases over time
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Dependencies
Code & Tests
- Cyclomatic complexity
- 3.0 median / 51 max
- Test cases
- 58 / 0.25 per code line
- Documented parameters
- 96%
Test coverage
Line coverage
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Expression
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Tests / Examples
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Functions
85 22 exported
Complexity
5 avg / 51 max
Call network
85 nodes / 107 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.2.22021-01-11 · diff ↗
- 1.2.12020-06-02 · diff ↗
- 1.2.02020-05-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.1.02018-08-27 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.0.12018-01-23 · diff ↗
- 1.0.02017-09-22
Show 1 earlier events
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-09-22
- Total releases
- 7 / 9 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 586 KB / 3 files
- Download size
- 621 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet