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RGeode

Geometric Density Estimation

v0.1.0 · Sep 4, 2017 · GPL (>= 2)

Description

Provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.

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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Lorenzo Rimella <lorenzo.rimella@hotmail.it>’

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  Authors@R: person(given = "Lorenzo",
                    family = "Rimella",
                    role = c("aut", "cre"),
                    email = "lorenzo.rimella@hotmail.it")
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NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Lorenzo Rimella <lorenzo.rimella@hotmail.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Lorenzo",
                    family = "Rimella",
                    role = c("aut", "cre"),
                    email = "lorenzo.rimella@hotmail.it")
as necessary.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Lorenzo Rimella <lorenzo.rimella@hotmail.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Lorenzo",
                    family = "Rimella",
                    role = c("aut", "cre"),
                    email = "lorenzo.rimella@hotmail.it")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Lorenzo Rimella <lorenzo.rimella@hotmail.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Lorenzo",
                    family = "Rimella",
                    role = c("aut", "cre"),
                    email = "lorenzo.rimella@hotmail.it")
as necessary.

Dependency Network

Dependencies Reverse dependencies Rcpp MASS stats (>= 3.4.1) RGeode

Version History

new 0.1.0 Mar 10, 2026