frechet: frechet: Statistical Analysis for Random Objects and...
In functionaldata/tFrechet: Statistical Analysis for Random Objects and Non-Euclidean Data
frechet R Documentation
frechet: Statistical Analysis for Random Objects and Non-Euclidean Data
Description
Provides implementation of statistical methods for random objects
lying in various metric spaces, which are not necessarily linear spaces.
The core of this package is Fréchet regression for random objects with
Euclidean predictors, which allows one to perform regression analysis
for non-Euclidean responses under some mild conditions.
Examples include distributions in L^2-Wasserstein space,
covariance matrices endowed with power metric (with Frobenius metric as a special case), Cholesky and log-Cholesky metrics.
References: Petersen, A., & Müller, H.-G. (2019) <doi:10.1214/17-AOS1624>.
functionaldata/tFrechet documentation built on Oct. 12, 2024, 6:33 a.m.
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| frechet | R Documentation |
frechet: Statistical Analysis for Random Objects and Non-Euclidean Data
Description
Provides implementation of statistical methods for random objects
lying in various metric spaces, which are not necessarily linear spaces.
The core of this package is Fréchet regression for random objects with
Euclidean predictors, which allows one to perform regression analysis
for non-Euclidean responses under some mild conditions.
Examples include distributions in L^2-Wasserstein space,
covariance matrices endowed with power metric (with Frobenius metric as a special case), Cholesky and log-Cholesky metrics.
References: Petersen, A., & Müller, H.-G. (2019) <doi:10.1214/17-AOS1624>.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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