frechet
Statistical Analysis for Random Objects and Non-Euclidean Data
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 2-Wasserstein space, covariance matrices endowed with power metric (with Frobenius metric as a special case), Cholesky and log-Cholesky metrics, spherical data. References: Petersen, A., & Müller, H.-G. (2019) doi:10.1214/17-AOS1624.
- Version0.3.0
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Petersen, A., & Müller, H.-G. (2019)
- Last release12/09/2023
Documentation
Team
Yaqing Chen
Han Chen
Show author detailsRolesAuthorSu I Iao
Show author detailsRolesContributorYidong Zhou
Show author detailsRolesAuthorPoorbita Kundu
Show author detailsRolesContributorHans-Georg Müller
Show author detailsRolesCopyright holder, Thesis advisor, AuthorSatarupa Bhattacharjee
Show author detailsRolesAuthorChangbo Zhu
Show author detailsRolesContributorJianing Fan
Show author detailsRolesAuthorAlvaro Gajardo
Show author detailsRolesAuthorKyunghee Han
Show author detailsRolesAuthorParomita Dubey
Show author detailsRolesAuthorQixian Zhong
Show author detailsRolesAuthorPetersen Alexander
Show author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports10 packages
- Suggests5 packages