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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 |
| Reference manual: | LogConcDEAD.pdf |
| Vignettes: |
a guide to the LogConcDEAD package |
| 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, r-oldrel (x86_64): LogConcDEAD_1.6-9.tgz |
| Old sources: | LogConcDEAD archive |
| Reverse imports: | detectR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.