Increase in information density in prior vs posterior.

Increase in information density in prior vs posterior.

InformationGain(
  projects = KiProjects(),
  scripts,
  parameter,
  metaEntry,
  priorMean = 0,
  priorSD = 2
)

Arguments

projects

Which projects to use

parameter

Character string corresponding to column name in `ParameterFile(pID, scriptID), specifying which parameter to examine.

metaEntry

Metadata item to regress with parameter

priorMean, priorSD

Mean and SD of a normal prior on parameter.

Value

InformationGain() returns the spearman's correlation of metaEntry with parameter

InformationGain() returns the results of a Spearman correlation conducted with cor.test(method = "spearman") between the prior/posterior SD ratio and the requested metaEntry.