Changelog
Source:NEWS.md
rgudhi 0.2.0
CRAN release: 20230324
In this minor release, I:
Added the
persistence_diagram_sample
class;Implemented the Lagragian formulation to compute the Wasserstein barycenters of a sample of persistence diagrams;

Fixed CRAN warnings:
 Incoherence of
autoplot
method implementation following renaming of main argumentx
intoobject
.  Rectify an invalid URL pointing to the paper for BIRCH clustering.
 Incoherence of
rgudhi 0.1.0
CRAN release: 20230119
rgudhi v0.1.0
provides an almost full wrapper of the v3.7.1
of the GUDHI library for topological data analysis. Only the cover complex class is missing due to nonreproducibility issues with random number generators. With GUDHI accessible from R, rgudhi v0.1.0
features:
 data structure to encode simplicial complexes;
 computation of persistence diagrams;
 various usual preprocessing tools for persistence diagrams;
 a dedicated
S3
classpersistence_diagram
for persistence diagram; 
plot()
andggplot2::autoplot()
methods forpersistence_diagram
objects;  vector and kernel representations of persistence diagrams;
 a number of metrics to quantify distances between persistence diagrams (Bottleneck, Persistence Fisher, Wasserstein, SliceWasserstein).
 functions to sample points from sphere (
sphere()
) and torus (torus()
);  a persistencebased clustering algorithm coined Tomato.
The package also wraps all clustering algorithms from the sklearn.cluster module because they can be useful when using the Atol
vectorization method for persistence diagram.
It also wraps all scalers classes from sklearn.preprocessing for use in various classes as well.