coga: Convolution of Gamma Distributions

Evaluation for density and distribution function of convolution of gamma distributions in R. Two related exact methods and one approximate method are implemented with efficient algorithm and C++ code. A quick guide for choosing correct method and usage of this package is given in package vignette. For the detail of methods used in this package, we refer the user to Mathai(1982)<doi:10.1007/BF02481056>, Moschopoulos(1984)<doi:10.1007/BF02481123>, Hu et al.(2019)<doi:10.1007/s00180-019-00924-9>.

Version: 1.1.0
Depends: R (≥ 3.3.0)
Imports: stats, Rcpp, cubature
LinkingTo: Rcpp, RcppGSL
Suggests: testthat, R.rsp
Published: 2019-10-08
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

Downloads:

Reference manual: coga.pdf
Vignettes: Quick guide for 'coga'
Package source: coga_1.1.0.tar.gz
Windows binaries: r-devel: coga_1.1.0.zip, r-release: coga_1.1.0.zip, r-oldrel: coga_1.1.0.zip
OS X binaries: r-release: coga_1.1.0.tgz, r-oldrel: coga_1.1.0.tgz
Old sources: coga archive

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