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PeakPerformance 0.7.3 documentation

Tutorials

Preparing raw data
Composition and assumptions of peak models
PeakPerformance workflow
Validation of PeakPerformance
Diagnostic plots
How to adapt PeakPerformance to your methods / data

Examples

Example 1: Build a pipeline using PeakPerformance’s convenience functions
Example 2: Directly access PeakPerformance’s functions to create a custom pipeline
Example 3: Example with a larger experimental data set

Case Studies

Investigation of double-peak separation
Investigating the effect of noise on the area uncertainty quantification

API Reference

peak_performance.models
peak_performance.pipeline
peak_performance.plots

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By Jochen Nießer, Michael Osthege

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