Description Usage Arguments Details Value Methods (by class) Examples
calcLikelihood
returns an updated MADproject with
the likelihood values based on the
observation and realization data in the MADproject or, optionally,
a subset thereof.
1 2 3 4 5 6 7 8 9 | calcLikelihood(proj, dsubset, num_realz = max(proj@realizations$rid),
samples = 1:proj@numSamples)
## S4 method for signature 'MADproject,numeric'
calcLikelihood(proj, dsubset,
num_realz = max(proj@realizations$rid), samples = 1:proj@numSamples)
## S4 method for signature 'MADproject,ANY'
calcLikelihood(proj, num_realz, samples)
|
proj |
The MADproject object with data read from the MAD# databases. |
dsubset |
The subset of inversion data to use for the likelihood calculations. |
num_realz |
The number of realizations to use in the likelihood
calculation (defaults to all in the |
samples |
A vector of sample IDs for which to calculate
likelihood values (defaults to all available in the
|
The likelihood calculation utilizes the np package for non- parametric density estimation with all inversion data as dependent (i.e. multivariate likelihood distributions are estimated).
proj The updated MADproject object with a filled
likelihood
slot.
proj = MADproject,dsubset = numeric
: Calculates the likelihood using a subset dsubset
of inversion data zid
proj = MADproject,dsubset = ANY
: Calculates the likelihood using all inversion data zid
1 2 | data(pumping)
pumping <- calcLikelihood(pumping, 100) #Inversion data as time step 100
|
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