testConvergence: Test (visually) the convergence of a MADproject object.

Description Usage Arguments Methods (by class) Examples

Description

testConvergence returns a plot to help the user visualize if there are enough realizations in the project for converged likelihood values

Usage

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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)

Arguments

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 MADproject object)

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 samples

Methods (by class)

Examples

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## Not run: 
data(pumping)
testConvergence(pumping, dsubset=1:3)  #Inversion data as time steps 1-3

## End(Not run)

anchoredDistr documentation built on June 20, 2017, 9:14 a.m.