CRAN-v0.5.4

jfa 0.5.4

New features

• Objects with class jfaPosterior as returned by evaluation()$posterior and planning()$expectedPosterior can now be used as input for the prior argument in the planning() and evaluation() functions.

Bug fixes

• Fixed a bug in method = 'bram' in the auditPrior() function where the prior parameters would go off to infinity when expectedError = 0.

Major changes

• Now calculates the upper bound for the population errors according to the hypergeometric distribution via an inverted hypothesis test. As a result of this method, the planning() function does not require a value for the materiality anymore when planning with the hypergeometric likelihood.

Minor changes

• Added a benchmark for the MUS package to the unit tests.
• Improved plots with better titles and axes labels.