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>).

Version: 1.6-9
Depends: R (≥ 3.0)
Imports: MASS, mclust, mvtnorm
Suggests: rgl, tkrplot
Enhances: logcondens
Published: 2024-01-09
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 at lse.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: LogConcDEAD citation info
Materials: NEWS
CRAN checks: LogConcDEAD results

Documentation:

Reference manual: LogConcDEAD.pdf
Vignettes: a guide to the LogConcDEAD package

Downloads:

Package source: LogConcDEAD_1.6-9.tar.gz
Windows binaries: r-devel: LogConcDEAD_1.6-9.zip, r-release: LogConcDEAD_1.6-9.zip, r-oldrel: LogConcDEAD_1.6-9.zip
macOS binaries: r-release (arm64): LogConcDEAD_1.6-9.tgz, r-oldrel (arm64): LogConcDEAD_1.6-9.tgz, r-release (x86_64): LogConcDEAD_1.6-9.tgz
Old sources: LogConcDEAD archive

Linking:

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