Showing 8 of total 8 results (show query)
dschuhmacher
transport:Computation of Optimal Transport Plans and Wasserstein Distances
Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Maintained by Dominic Schuhmacher. Last updated 7 months ago.
5 stars 8.07 score 414 scripts 22 dependents
jkim82133
TDA:Statistical Tools for Topological Data Analysis
Tools for Topological Data Analysis. The package focuses on statistical analysis of persistent homology and density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements methods from Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2015) <doi:10.20382/jocg.v6i2a8> for analyzing the statistical significance of persistent homology features.
Maintained by Jisu Kim. Last updated 2 months ago.
9 stars 7.18 score 204 scripts 5 dependents
santagos
dad:Three-Way / Multigroup Data Analysis Through Densities
The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Maintained by Pierre Santagostini. Last updated 4 months ago.
5.32 score 92 scripts
ericdunipace
approxOT:Approximate and Exact Optimal Transport Methods
R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.
Maintained by Eric Dunipace. Last updated 3 months ago.
3 stars 4.26 score 2 scripts 1 dependents
kisungyou
T4transport:Tools for Computational Optimal Transport
Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Maintained by Kisung You. Last updated 2 years ago.
6 stars 3.48 score 5 scriptsericdunipace
WpProj:Linear p-Wasserstein Projections
Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <doi:10.48550/arXiv.2012.09999>.
Maintained by Eric Dunipace. Last updated 2 months ago.
3.48 score
floo66
cylcop:Circular-Linear Copulas with Angular Symmetry for Movement Data
Classes (S4) of circular-linear, symmetric copulas with corresponding methods, extending the 'copula' package. These copulas are especially useful for modeling correlation in discrete-time movement data. Methods for density, (conditional) distribution, random number generation, bivariate dependence measures and fitting parameters using maximum likelihood and other approaches. The package also contains methods for visualizing movement data and copulas.
Maintained by Florian Hodel. Last updated 2 years ago.
1 stars 1.70 score
yrobink
SBCK:Statistical Bias Correction Kit
Implementation of several recent multivariate bias correction methods with a unified interface to facilitate their use. A description and comparison between methods can be found in <doi:10.5194/esd-11-537-2020>.
Maintained by Yoann Robin. Last updated 2 years ago.
1.00 score