PyKF.KalmanFiltering

Package PyKF :: Module KalmanFiltering

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Module PyKF.KalmanFiltering

Linear and non-linear Kalman filtering (IN DEVELOPMENT)

Classes
`Autoregression`
`BevertonHoltDynamics`
`BevertonHoltFilter1`
`BevertonHoltFilter2`
`BevertonHoltTestCase1`
`BevertonHoltTestCase2`
`LinearFilter`	Linear Kalman filter, using Ricker recruitment as an example.
`RickerDynamics`
`RickerTestCase`
`RWTestCase`
`UnscentedFilter`	Unscented Kalman filter, using Beverton-Holt recruitment as an example.

Function Summary
	`dot(a, b)`
	`inverse(value)`
	`test()` rw = RWTestCase(1,1,1)...

Function Details

test()

rw = RWTestCase(1,1,1)
    
    print '*'*30
    print '
Random walk'
    print '*'*30
    rw.runTest(100)
   
    ricker = RickerTestCase()

    print '*'*30
    print '
Ricker dynamics'
    print '*'*30
    ricker.runTest(100)

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