pastas.stressmodels#

This module contains all the stress models available in Pastas.

Stress models are used to translate an input time series into contribution that explains (part of) the output series.

Examples

>>> sm = ps.StressModel(stress, rfunc=ps.Gamma(), name="sm1")
>>> ml.add_stressmodel(stressmodel=sm)

See also

Classes

`ChangeModel`	Model where the response function changes from one to another over time.
`Constant`	A constant value that is added to the time series model.
`LinearTrend`	Stressmodel that simulates a linear trend.
`RechargeModel`	Stressmodel simulating the effect of groundwater recharge on the head.
`StepModel`	Stressmodel that simulates a step trend.
`StressModel`	Stress model convoluting a stress with a response function.
`StressModelBase`	StressModel Base class called by each StressModel object.
`TarsoModel`	Stressmodel simulating the effect of recharge using the Tarso method.
`WellModel`	Convolution of one or more stresses with a single scaled response function.