QurvE
1.1.2Robust and User-Friendly Analysis of Growth and Fluorescence Curves
Overview
High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge. The package is described in further detail in Wirth et al. (2023) doi:10.1038/s41596-023-00850-7.
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Health
- 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
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 86%
- Documented parameters
- 94%
- Return-value docs
- 97%
- References docs
- 22%
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5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/nicwir/qurve on 2026-07-30.
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Package metadata
- First published
- 2023-01-12
- Total releases
- 4 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0
- Download size
- 2.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet