FDX 2.0.2

• If input p-values vector includes names, they are now included in the
  summary table generated by summary.FDX(). For this to work with
  DiscreteTestResults class objects from package DiscreteTests, version
  0.2.1 of that package is required.

FDX 2.0.0

• New features:
  • discrete.GR(), discrete.LR(), discrete.PB() and their respective
    wrappers DGR(), DLR(), DPB(), NDGR() , NDLR() and NDPB() are
    now generic functions. The previously existing functionality is
    implemented in *.default methods.
  • These generic functions got *.DiscreteTestResults methods for
    processing DiscreteTestResults R6 class objects from package
    DiscreteTests directly, so they can be used within pipes. They also
    offer some performance gains because some time-consuming checks for
    consistency are no longer necessary.
  • For consistency of new generics and methods, the first parameter
    raw.pvalues needed to be renamed to test.results.
  • New parameter threshold for discrete.*(), continuous.*(),
    weighted.* and their respective wrapper functions. This enables
    selection of p-values which are smaller than or equal to a certain
    value. Note: observed p-values and their supports are then
    re-scaled, as the p-value distributions are now becoming conditional
    distributions. If no selection is performed (i.e. threshold = 1),
    print(), summary() and plot() outputs are as before. Otherwise,
    they now respect the re-scaled conditional distributions. Additionally,
    the FDX S3 class output objects of these functions now include a list
    Select with values and information regarding selection.
  • New parameter pCDFlist.indices for discrete.*() and their wrappers,
    which must have the same length as pCDFlist and may help increasing
    performance considerably. As pCDFlist may now include only unique
    supports, pCDFlist.indices must indicate the indices of the p-values
    which belong to a given support set. If pCDFlist has the same length
    as test.results, it can be omitted (by setting it to NULL, the
    default). If users prefer using DiscreteTestResults objects, they
    do not have to take care of this, as unique supports and indices are
    automatically extracted from these objects.
• New functions direct.discrete.GR(), direct.discrete.LR() and
  direct.discrete.PB() as more flexible replacements for
  fast.discrete.GR(), fast.discrete.LR() and fast.discrete.PB(). The
  latter have been marked as deprecated and will be removed in the future.
• Step function evaluation in C++ code has been replaced by closely optimized
  inline functions which offer performance gains of 10-50%.