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Releases: pglpm/prova

Prova v1.0.0

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@pglpm pglpm released this 01 Jul 12:46
  • Improved documentation, also of internal functions.
  • Introduced argument verbose = in several function, so as to show information to console only if the user so desires. This argument is FALSE for all functions except learn().
  • Added example of imputation in vignette.
  • Rewritten README with description of the package's main features.
  • Cleaned up code.

v0.9.0

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@pglpm pglpm released this 25 Jun 18:26
  • Improved documentation, also of internal functions.
  • Removed unused functions.
  • Cleaned up code.

v0.7.0

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@pglpm pglpm released this 23 Jun 20:24
  • Introduced the print() method for probability objects.
  • Slightly modified output of Pr() and related functions.
  • Added references.
  • Modified vignettes.

v0.6.5

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@pglpm pglpm released this 22 Jun 07:37
  • Added examples to all functions visible to the user.
  • Fixed some bugs (in particular a bug that would allow the input of a non-existent nominal value giving erroneous probabilities).
  • Corrected typos.

v0.6.0

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@pglpm pglpm released this 17 Jun 18:38

Renamed the package from inferno to Prova. It turns out, unsurprisingly, that the name "inferno" was already in use for several inference-related software packages of various kinds.

v0.5.5

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@pglpm pglpm released this 20 Dec 15:09
  • Removed a bug that broke learn() with datasets consisting of only one nominal variate.

v0.5.2

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@pglpm pglpm released this 12 Nov 08:35
  • Fix bug in handling metadata.

v0.5.0

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@pglpm pglpm released this 13 Oct 11:00
  • Added function qPr() for the computation of quantiles and their variability.

  • Corrected some bugs.

  • NB: learnt objects created with versions < 0.5.0 are incompatible with the functions of version 0.5.0. To convert to the new version, use the function util_learntvar2sd(file), where file is the path of the learnt object to be converted.

v0.4.0

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@pglpm pglpm released this 05 Oct 11:05
  • Eliminated dependence on packages 'foreach', 'doParallel', 'doRNG'. Now only the 'parallel' package, which ships with R by default, is used.
  • Parallel computation of large numbers of probabilities is now faster on average; even five times faster.
  • It's now easier to write minimal metadata files (though minimal files should only be used for testing).

v0.3.2

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@pglpm pglpm released this 29 Sep 12:56
  • Improved graphic output of flexiplot().