NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals

The software package NoisySignalIntegration.jl implements a method to determine the uncertainty in numeric integrals of noisy x-y data based on a Monte-Carlo process. It can include uncertainty due to noise, baseline subtraction, and placement in integration bounds. To do this, the integration is repeated many times while the noise of the data, baseline, and integration bounds are varied based on a noise model and user supplied probability distributions.

See also https://github.com/nluetts/NoisySignalIntegration.jl and https://nluetts.github.io/NoisySignalIntegration.jl/stable/.