phutil 0.0.2

New features

• New as_diagram() generic and methods for persistence and PHom classes,
  enabling round-trip conversion back to the diagram class used by
  {TDA} (#53).

Bug fixes

• as_persistence.diagram() now correctly handles diagram objects whose
  Birth and Death columns appear in a different order, which can occur with
  some {TDA} filtrations (#52).
• Graphics options are now properly restored to the user's original settings
  after being temporarily changed (#41).

Minor improvements

• {TDA} functions are now called with explicit TDA:: namespace prefixes and
  print.progress = FALSE for cleaner output (#41).
• Tests for {ripserr} integration are now run conditionally on {ripserr} being
  installed, removing it as a hard suggested dependency (#41).
• The vignette no longer requires {ggplot2} or {scales}, reducing optional
  dependencies for building the documentation (#46, closes #45).
• Vendored {cpp11} headers have been removed; the package now relies on the
  {cpp11} headers provided by the installed package, allowing it to benefit from
  updated versions. The NO_LEGACY_NONAPI flag is set to comply with the R API
  going forward (#55).
• Package description updated with references to the distance methods
  implemented (#41).

phutil 0.0.1

This is a new submission to CRAN.

Goals

The {phutil} package is intended to be a
low-level package for hosting persistence data. It is part of the TDAverse
suite of packages, which are designed to provide a collection of packages for
enabling machine learning and data science tasks using persistent homology.

Current features

The package currently exposes:

• a new data structure (the
  persistence
  class) for hosting persistence data;
• a set of utility functions for coercing persistence data to and from
  other data structures (e.g., data.frame, tibble, list, matrix,PHom and
  diagram classes);
• a set of utility functions for computing Bottleneck and Wasserstein distances
  between two persistence diagrams
  (bottleneck_distance()
  and
  wasserstein_distance())
  and from a sample of persistence diagrams in a pairwise manner
  (bottleneck_pairwise_distance()
  and
  wasserstein_pairwise_distance()).

Dependencies

Messages, warnings and errors are relayed to the user using the
{rlang} package and the
{cli} package which are both licensed under the MIT
license and with no dependency trail.

Computation of distances is performed using the BSD-licensed
Hera C++ library. The code interfacing R
and C++ is generated by the header-only {cpp11}
package which is MIT-licensed. Computation of pairwise distances is parallelized
over the number of pairs using OpenMP.