Log-Concave Density Estimation in Arbitrary Dimensions R package LogConcDEAD version 1.6-12 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>). Software Depends: R (>= 3.0) Imports: MASS, mclust, mvtnorm Suggests: rgl, tkrplot Enhances: logcondens Yining Chen <y.chen101@lse.ac.uk> Comprehensive R Archive Network (CRAN) 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) GPL (>= 2) 2025-03-13 application/tgz https://CRAN.R-project.org/package=LogConcDEAD doi:10.32614/CRAN.package.LogConcDEAD