{
    "info": {
        "author": "J. Derek Tucker",
        "author_email": "jdtuck@sandia.gov",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        "description": "[![Documentation Status](https://readthedocs.org/projects/fdasrsf-python/badge/?version=latest)](https://fdasrsf-python.readthedocs.io/en/latest/?badge=latest)\n\nfdasrsf\n=======\n\nA python package for functional data analysis using the square root\nslope framework and curves using the square root velocity framework\nwhich performs pair-wise and group-wise alignment as well as modeling\nusing functional component analysis and regression.\n\n### Installation\n------------------------------------------------------------------------------\nv2.0.0 is on pip and can be installed using\n> `pip install fdasrsf`\n\nTo install the most up to date version on github\n> `python setup.py install`\n\n------------------------------------------------------------------------------\n\n### References\nTucker, J. D. 2014, Functional Component Analysis and Regression using Elastic\nMethods. Ph.D. Thesis, Florida State University.\n\nRobinson, D. T. 2012, Function Data Analysis and Partial Shape Matching in the\nSquare Root Velocity Framework. Ph.D. Thesis, Florida State University.\n\nHuang, W. 2014, Optimization Algorithms on Riemannian Manifolds with\nApplications. Ph.D. Thesis, Florida State University.\n\nSrivastava, A., Wu, W., Kurtek, S., Klassen, E. and Marron, J. S. (2011).\nRegistration of Functional Data Using Fisher-Rao Metric. arXiv:1103.3817v2\n[math.ST].\n\nTucker, J. D., Wu, W. and Srivastava, A. (2013). Generative models for\nfunctional data using phase and amplitude separation. Computational Statistics\nand Data Analysis 61, 50-66.\n\nJ. D. Tucker, W. Wu, and A. Srivastava, \"Phase-Amplitude Separation of\nProteomics Data Using Extended Fisher-Rao Metric,\" Electronic Journal of\nStatistics, Vol 8, no. 2. pp 1724-1733, 2014.\n\nJ. D. Tucker, W. Wu, and A. Srivastava, \"Analysis of signals under compositional\nnoise With applications to SONAR data,\" IEEE Journal of Oceanic Engineering, Vol\n29, no. 2. pp 318-330, Apr 2014.\n\nSrivastava, A., Klassen, E., Joshi, S., Jermyn, I., (2011). Shape analysis of\nelastic curves in euclidean spaces. Pattern Analysis and Machine Intelligence,\nIEEE Transactions on 33 (7), 1415-1428.\n\nS. Kurtek, A. Srivastava, and W. Wu. Signal estimation under random\ntime-warpings and nonlinear signal alignment. In Proceedings of Neural\nInformation Processing Systems (NIPS), 2011.\n\nWen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil. \"Riemannian\nOptimization for Elastic Shape Analysis\", Short version, The 21st International\nSymposium on Mathematical Theory of Networks and Systems (MTNS 2014).\n\nCheng, W., Dryden, I. L., and Huang, X. (2016). Bayesian registration of functions\nand curves. Bayesian Analysis, 11(2), 447-475.\n\nW. Xie, S. Kurtek, K. Bharath, and Y. Sun, A geometric approach to visualization\nof variability in functional data, Journal of American Statistical Association 112\n(2017), pp. 979-993.\n\nLu, Y., R. Herbei, and S. Kurtek, 2017: Bayesian registration of functions with a Gaussian process prior. Journal of\nComputational and Graphical Statistics, 26, no. 4, 894\u2013904.\n\nLee, S. and S. Jung, 2017: Combined analysis of amplitude and phase variations in functional data. arXiv:1603.01775 [stat.ME], 1\u201321.\n\nJ. D. Tucker, J. R. Lewis, and A. Srivastava, \u201cElastic Functional Principal Component Regression,\u201d Statistical Analysis and Data Mining, vol. 12, no. 2, pp. 101-115, 2019.\n\nJ. D. Tucker, J. R. Lewis, C. King, and S. Kurtek, \u201cA Geometric Approach for Computing Tolerance Bounds for Elastic Functional Data,\u201d Journal of Applied Statistics, 10.1080/02664763.2019.1645818, 2019.\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://research.tetonedge.net",
        "keywords": "functional data analysis",
        "license": "LICENSE.txt",
        "maintainer": "",
        "maintainer_email": "",
        "name": "fdasrsf",
        "package_url": "https://pypi.org/project/fdasrsf/",
        "platform": "",
        "project_url": "https://pypi.org/project/fdasrsf/",
        "project_urls": {
            "Homepage": "http://research.tetonedge.net"
        },
        "release_url": "https://pypi.org/project/fdasrsf/2.0.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "functional data analysis using the square root slope framework",
        "version": "2.0.0"
    },
    "last_serial": 5962662,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0155364ce2f6af6161b7a79f47e786f6",
                    "sha256": "de60340ae203656e20d1e6348e14e63bc60839f4c46c32222ac64f4ccc429f5f"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "0155364ce2f6af6161b7a79f47e786f6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 70709,
                "upload_time": "2013-08-25T14:31:28",
                "url": "https://files.pythonhosted.org/packages/88/ea/def0083e3ea92e95b3644d20ab6bef27d105190b5300d7eb3f4d6c473e6d/fdasrsf-1.0.0.tar.gz"
            }
        ],
        "1.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0096bfd41c09071180ee9b4dd36308d6",
                    "sha256": "50c0152e175e992b69821706781c4fe015e60392dc512d8ef0fd13233d629955"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "0096bfd41c09071180ee9b4dd36308d6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 84431,
                "upload_time": "2013-08-26T14:22:16",
                "url": "https://files.pythonhosted.org/packages/a5/aa/3a49ea76440a75a97d74f61f100d06267ae5de786d7d03cfafb2be8d36d6/fdasrsf-1.0.1.tar.gz"
            }
        ],
        "1.3.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "732f49751a128307698f00cd74f71f17",
                    "sha256": "9dbd1e6fa41fed595d0f8a37c9b7d3aeddd5cb6cae1a526dd5b72933671479d7"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.3.0.tar.gz",
                "has_sig": false,
                "md5_digest": "732f49751a128307698f00cd74f71f17",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 534383,
                "upload_time": "2019-07-19T14:57:12",
                "url": "https://files.pythonhosted.org/packages/98/f9/d63eb570de277c35e093db05c5d420c3310abfdc546e4aad173dde9e79ff/fdasrsf-1.3.0.tar.gz"
            }
        ],
        "1.4.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "5f658b82838f94f37fd8539d274c03dd",
                    "sha256": "1c33e93eb08241ae5a14c974b620f4f10e3fecd13ef71fe37fa72dc786b9f8ef"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.4.0.tar.gz",
                "has_sig": false,
                "md5_digest": "5f658b82838f94f37fd8539d274c03dd",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 534382,
                "upload_time": "2019-07-19T14:57:15",
                "url": "https://files.pythonhosted.org/packages/d8/9b/d2d57d57b276d183118be1008e96eaa0abd58f88f0249518ad8e37d07e2c/fdasrsf-1.4.0.tar.gz"
            }
        ],
        "1.4.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "eb0e6be5759e16c2a68484d22cc9e8a0",
                    "sha256": "ce7ea90ede40fb9d0e9b3934750148d62140687da367affdb2f8dc2b2ecc87a7"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.4.1.tar.gz",
                "has_sig": false,
                "md5_digest": "eb0e6be5759e16c2a68484d22cc9e8a0",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 534392,
                "upload_time": "2019-07-19T15:01:37",
                "url": "https://files.pythonhosted.org/packages/2e/09/a9e194857b19974357df10e647d037d323efb508bf24e0d0afd6e3e3f50a/fdasrsf-1.4.1.tar.gz"
            }
        ],
        "1.4.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "ed37a5bba0509a41632ceb63acb61cf7",
                    "sha256": "47b592ee1a89b98b64c1e936b2c4be8c458b3ef86325ffeaaea415bd2b10a137"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.4.2.tar.gz",
                "has_sig": false,
                "md5_digest": "ed37a5bba0509a41632ceb63acb61cf7",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1059526,
                "upload_time": "2019-07-26T13:10:15",
                "url": "https://files.pythonhosted.org/packages/57/90/59d509be66456c7c6426b2beb6f9c6a28824aa8a22d73a0f998abf2b56c1/fdasrsf-1.4.2.tar.gz"
            }
        ],
        "1.4.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a09c104c74772b9bde0ec1389408edca",
                    "sha256": "9f8312992ebc202aee9a9e23bc3bed26e39c1916f1299d346a5b74c10be7ab68"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.4.3.tar.gz",
                "has_sig": false,
                "md5_digest": "a09c104c74772b9bde0ec1389408edca",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1058292,
                "upload_time": "2019-08-05T18:44:49",
                "url": "https://files.pythonhosted.org/packages/ba/63/26054a395f10d640c02f19b889e8633aecbaceb5e3fb405f2c3129a9071a/fdasrsf-1.4.3.tar.gz"
            }
        ],
        "1.4.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "21d19c101f985c94a557e8df84419ae7",
                    "sha256": "de8895f81eeb30b8ca8e0c6e1499438d8ec7970c6ba03f36eabd9281515bd13e"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.4.4.tar.gz",
                "has_sig": false,
                "md5_digest": "21d19c101f985c94a557e8df84419ae7",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1006148,
                "upload_time": "2019-08-05T23:48:01",
                "url": "https://files.pythonhosted.org/packages/c6/22/3f6d2bfe8c04e9e0b5be6d81d7ab97dfbf65da5a3899c5d284a228887a55/fdasrsf-1.4.4.tar.gz"
            }
        ],
        "1.5.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "895d62032c75b3b07eb98a714b4d31a7",
                    "sha256": "3adf0d72f43c23922d97ba45a5de7342bd7e386b29d457c169b3751165f3a27d"
                },
                "downloads": -1,
                "filename": "fdasrsf-1.5.0.tar.gz",
                "has_sig": false,
                "md5_digest": "895d62032c75b3b07eb98a714b4d31a7",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1071216,
                "upload_time": "2019-08-08T15:51:38",
                "url": "https://files.pythonhosted.org/packages/89/e0/ecb7178045e9ff655e2b746224e0391417343aa8ead7a5db020672c8a029/fdasrsf-1.5.0.tar.gz"
            }
        ],
        "2.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e75bf60c66ce9d016223a86dc9c692a6",
                    "sha256": "d3e0bf156e7e258cbe6fd4c13ceca79653b631969b36dced877fa1b4697e122e"
                },
                "downloads": -1,
                "filename": "fdasrsf-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl",
                "has_sig": false,
                "md5_digest": "e75bf60c66ce9d016223a86dc9c692a6",
                "packagetype": "bdist_wheel",
                "python_version": "cp37",
                "requires_python": null,
                "size": 782048,
                "upload_time": "2019-10-12T02:50:28",
                "url": "https://files.pythonhosted.org/packages/13/93/e08d13360390ce170b74f706462b8333501adee7b5c1128757b02c404ac6/fdasrsf-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "5b3959b0dc207e250f272407e2ef55e9",
                    "sha256": "1984ac22b28f44e36a6c0d559dce2183cff9910827a8d1ee59e3c790e4dd21d1"
                },
                "downloads": -1,
                "filename": "fdasrsf-2.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "5b3959b0dc207e250f272407e2ef55e9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1550222,
                "upload_time": "2019-10-12T02:50:42",
                "url": "https://files.pythonhosted.org/packages/91/b7/bbde9316c02e7d190e567c93804e240a10b4837a5d90620083abd244e6cc/fdasrsf-2.0.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "e75bf60c66ce9d016223a86dc9c692a6",
                "sha256": "d3e0bf156e7e258cbe6fd4c13ceca79653b631969b36dced877fa1b4697e122e"
            },
            "downloads": -1,
            "filename": "fdasrsf-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl",
            "has_sig": false,
            "md5_digest": "e75bf60c66ce9d016223a86dc9c692a6",
            "packagetype": "bdist_wheel",
            "python_version": "cp37",
            "requires_python": null,
            "size": 782048,
            "upload_time": "2019-10-12T02:50:28",
            "url": "https://files.pythonhosted.org/packages/13/93/e08d13360390ce170b74f706462b8333501adee7b5c1128757b02c404ac6/fdasrsf-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "5b3959b0dc207e250f272407e2ef55e9",
                "sha256": "1984ac22b28f44e36a6c0d559dce2183cff9910827a8d1ee59e3c790e4dd21d1"
            },
            "downloads": -1,
            "filename": "fdasrsf-2.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "5b3959b0dc207e250f272407e2ef55e9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1550222,
            "upload_time": "2019-10-12T02:50:42",
            "url": "https://files.pythonhosted.org/packages/91/b7/bbde9316c02e7d190e567c93804e240a10b4837a5d90620083abd244e6cc/fdasrsf-2.0.0.tar.gz"
        }
    ]
}