gof_statistics: Get goodness of fit statistics for the spatial residuals of a...
In andeek/conclique: Gibbs Sampling for Spatial Data and Concliques

Get goodness of fit statistics for the spatial residuals of a MRF model.

gof_statistics(
  residuals,
  conclique_cover,
  statistic = c("ks", "cvm"),
  aggregate = c("mean", "max")
)

`residuals`	A vector containing residuals for each location in the lattice, output from spatial_residuals.
`conclique_cover`	A list of class "conclique_cover" encoding the locations in each conclique for the conclique cover
`statistic`	Which goodness of fit statistic to use, Kolmogorov-Smirnov ("ks") or Cramer von Mises ("cvm"). Kolmogorov-Smirnov is the default choice.
`aggregate`	How to aggregate GOF statistics across concliques, mean ("mean") or max ("max"). Mean is the default. Can also be a name of a user defined aggregation function.