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testConvergence returns a plot to help the user visualize if there are enough realizations in the project for converged likelihood values
testConvergence
testConvergence(proj, dsubset, samples = 1:proj@numSamples, NR = 10, NS = 7)# S4 method for MADproject,numeric testConvergence(proj, dsubset, samples = 1:proj@numSamples, NR = 10, NS = 7)# S4 method for MADproject,ANY testConvergence(proj, samples, NR, NS)
# S4 method for MADproject,numeric testConvergence(proj, dsubset, samples = 1:proj@numSamples, NR = 10, NS = 7)
# S4 method for MADproject,ANY testConvergence(proj, samples, NR, NS)
The MADproject object to be tested.
The subset of inversion data to use for the likelihood calculations.
A vector of sample IDs to sample from to calculate likelihood values (defaults to all available in the MADproject object)
MADproject
The number of different realization totals for which to calculate likelihood values (defaults to 10)
The number of randomly selected samples to test (defaults to 7) out of samples
samples
proj = MADproject,dsubset = numeric: Tests the convergence using a subset dsubset of inversion data zid
proj = MADproject,dsubset = numeric
dsubset
zid
proj = MADproject,dsubset = ANY: Tests the convergence using all inversion data zid
proj = MADproject,dsubset = ANY
data(pumping) testConvergence(pumping, dsubset=1:3) #Inversion data as time steps 1-3
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