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LogConcDEAD: Log-Concave Density Estimation in Arbitrary Dimensions
Software for computing a log-concave (maximum likelihood) estimator for independent and identically distributed data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).
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Package details |
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| Author | Madeleine Cule [aut], Robert Gramacy [aut], Richard Samworth [aut], Yining Chen [aut, cre], Lutz Duembgen [ctb] (helped improve the numerical stability), Vikneswaran Gopal [ctb] (proposed the Metropolis-Hastings scheme for draw samples from a log-concave distribution), George Casella [ctb] (proposed the Metropolis-Hastings scheme for draw samples from a log-concave distribution), C. Bradford Barber [cph] (author of the Qhull library), The Geometry Center [cph], Kai Habel [cph] (author of the function that imports convex hull computation from Qhull to R), Raoul Grasman [cph] (author of the function that imports convex hull computation from Qhull to R), Alexei Kuntsevich [cph] (author of the C function for Shor's r algorithm), Franz Kappel [cph] (author of the C function for Shor's r algorithm) |
| Maintainer | Yining Chen <y.chen101@lse.ac.uk> |
| License | GPL (>= 2) |
| Version | 1.6-8 |
| Package repository | View on CRAN |
| Installation |
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