Convolution of gamma distributions in R. The convolution of gamma distributions is the sum of series of gamma distributions and all gamma distributions here can have different parameters. This package can calculate density, distribution function and do simulation work.
Version: | 0.2.1 |
Depends: | R (≥ 3.3.1) |
Imports: | stats, Rcpp |
LinkingTo: | Rcpp, RcppGSL |
Suggests: | knitr, rmarkdown, testthat, microbenchmark |
Published: | 2017-07-27 |
Author: | Chaoran Hu [aut, cre], Vladimir Pozdnyakov [ths], Jun Yan [ths] |
Maintainer: | Chaoran Hu <chaoran.hu at uconn.edu> |
BugReports: | https://github.com/ChaoranHu/coga/issues |
License: | GPL (≥ 3.0) |
URL: | https://github.com/ChaoranHu/coga |
NeedsCompilation: | yes |
SystemRequirements: | GNU GSL |
Citation: | coga citation info |
Materials: | NEWS |
In views: | Distributions |
CRAN checks: | coga results |
Reference manual: | coga.pdf |
Vignettes: |
The Description of Algorithm and Correctness |
Package source: | coga_0.2.1.tar.gz |
Windows binaries: | r-devel: coga_0.2.1.zip, r-release: coga_0.2.1.zip, r-oldrel: coga_0.2.1.zip |
OS X El Capitan binaries: | r-release: coga_0.2.1.tgz |
OS X Mavericks binaries: | r-oldrel: coga_0.2.1.tgz |
Old sources: | coga archive |
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