Description Usage Arguments Methods (by class) Examples
testConvergence
returns a plot to help the user visualize if
there are enough realizations in the project for converged likelihood
values
1 2 3 4 5 6 7 8 9  testConvergence(proj, dsubset, samples = 1:proj@numSamples, NR = 10,
NS = 7)
## S4 method for signature 'MADproject,numeric'
testConvergence(proj, dsubset,
samples = 1:proj@numSamples, NR = 10, NS = 7)
## S4 method for signature 'MADproject,ANY'
testConvergence(proj, samples, NR, NS)

proj 
The MADproject object to be tested. 
dsubset 
The subset of inversion data to use for the likelihood calculations. 
samples 
A vector of sample IDs to sample from to calculate
likelihood values (defaults to all available in the 
NR 
The number of different realization totals for which to calculate likelihood values (defaults to 10) 
NS 
The number of randomly selected samples to test (defaults to 7)
out of 
proj = MADproject,dsubset = numeric
: Tests the convergence using a subset dsubset
of inversion data zid
proj = MADproject,dsubset = ANY
: Tests the convergence using all inversion data zid
1 2 3 4 5  ## Not run:
data(pumping)
testConvergence(pumping, dsubset=1:3) #Inversion data as time steps 13
## End(Not run)

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