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QurvE

Robust and User-Friendly Analysis of Growth and Fluorescence Curves

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>.

Versions across snapshots

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 QurvE_1.1.2.tar.gz 3.2 MiB
1.1.2 rolling linux/noble R-4.5 QurvE_1.1.2.tar.gz 3.2 MiB
1.1.2 rolling source/ R- QurvE_1.1.2.tar.gz 2.3 MiB
1.1.2 latest linux/jammy R-4.5 QurvE_1.1.2.tar.gz 3.2 MiB
1.1.2 latest linux/noble R-4.5 QurvE_1.1.2.tar.gz 3.2 MiB
1.1.2 latest source/ R- QurvE_1.1.2.tar.gz 2.3 MiB
1.1.2 2026-04-26 source/ R- QurvE_1.1.2.tar.gz 2.3 MiB
1.1.2 2026-04-23 source/ R- QurvE_1.1.2.tar.gz 2.3 MiB
1.1.2 2026-04-09 windows/windows R-4.5 QurvE_1.1.2.zip 3.2 MiB
1.1.1 2025-04-20 source/ R- QurvE_1.1.1.tar.gz 2.2 MiB

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