{ "_id": "6a251d744b233be19838ebf0", "Package": "frechet", "Type": "Package", "Title": "Statistical Analysis for Random Objects and Non-Euclidean Data", "URL": "https://github.com/functionaldata/tFrechet", "BugReports": "https://github.com/functionaldata/tFrechet/issues", "Version": "0.2.0", "Encoding": "UTF-8", "Date": "2020-12-15", "Authors@R": "c(person(given = \"Yaqing\",\nfamily = \"Chen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"yaqchen@ucdavis.edu\"),\nperson(given = \"Alvaro\",\nfamily = \"Gajardo\",\nrole = \"aut\"),\nperson(given = \"Jianing\",\nfamily = \"Fan\",\nrole = \"aut\"),\nperson(given = \"Qixian\",\nfamily = \"Zhong\",\nrole = \"aut\"),\nperson(given = \"Paromita\",\nfamily = \"Dubey\",\nrole = \"aut\"),\nperson(given = \"Kyunghee\",\nfamily = \"Han\",\nrole = \"aut\"),\nperson(given = \"Satarupa\",\nfamily = \"Bhattacharjee\",\nrole = \"aut\"),\nperson(given = \"Hans-Georg\",\nfamily = \"Müller\",\nrole = c(\"cph\", \"ths\", \"aut\")))", "Maintainer": "Yaqing Chen ", "Description": "Provides implementation of statistical methods for random\nobjects lying in various metric spaces, which are not\nnecessarily linear spaces. The core of this package is Fréchet\nregression for random objects with Euclidean predictors, which\nallows one to perform regression analysis for non-Euclidean\nresponses under some mild conditions. Examples include\ndistributions in L^2-Wasserstein space, covariance matrices\nendowed with power metric (with Frobenius metric as a special\ncase), Cholesky and log-Cholesky metrics. References: Petersen,\nA., & Müller, H.-G. 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