An S4 class to represent a MAD project

`madname`

Character string, the name of the MAD# project

`resultname`

Character string, the name of the MAD# project's result

`xpath`

Character string, the path where to find the MAD# project's result

`numLocations`

A numeric value for the number of measurement locations

`numTimesteps`

A numeric value for the number of time steps in series

`numSamples`

A numeric value for the number of samples

`numAnchors`

A numeric value for the number of local parameters to be inferred

`numTheta`

A numeric value for the number of global parameters to be inferred

`truevalues`

A numeric vector of length

`numAnchors+numTheta`

that contains the true values of the parameters being inferred, if known (i.e. for validation)`observations`

A numeric vector containing the observed values of inversion data

`realizations`

A data.frame containing the the ensemble of simulated inversion data for each sample

`priors`

A data.frame containing the values sampled from the priors for each parameter to be inferred plus estimated marginal density

`likelihoods`

A data.frame of likelihood values calculated for each sample

`posteriors`

A data.frame containing the posterior values estimated for each sample of each parameter

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