geppe: Generalised Exponential Poisson and Poisson Exponential Distributions

Maximum likelihood estimation, random values generation, density computation and other functions for the exponential-Poisson generalised exponential-Poisson and Poisson-exponential distributions. References include: Rodrigues G. C., Louzada F. and Ramos P. L. (2018). "Poisson-exponential distribution: different methods of estimation". Journal of Applied Statistics, 45(1): 128–144. <doi:10.1080/02664763.2016.1268571>. Louzada F., Ramos, P. L. and Ferreira, H. P. (2020). "Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence". Communications in Statistics–Simulation and Computation, 49(4): 1024–1043. <doi:10.1080/03610918.2018.1491988>. Barreto-Souza W. and Cribari-Neto F. (2009). "A generalization of the exponential-Poisson distribution". Statistics and Probability Letters, 79(24): 2493–2500. <doi:10.1016/j.spl.2009.09.003>.

Version:	1.0
Depends:	R (≥ 4.0)
Imports:	Rfast2, stats
Published:	2024-06-24
DOI:	10.32614/CRAN.package.geppe
Author:	Michail Tsagris [aut, cre], Sofia Piperaki [aut]
Maintainer:	Michail Tsagris <mtsagris at uoc.gr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	Distributions
CRAN checks:	geppe results

Documentation:

Reference manual:

geppe.pdf

Downloads:

Package source:	geppe_1.0.tar.gz
Windows binaries:	r-devel: geppe_1.0.zip, r-release: geppe_1.0.zip, r-oldrel: geppe_1.0.zip
macOS binaries:	r-release (arm64): geppe_1.0.tgz, r-oldrel (arm64): geppe_1.0.tgz, r-release (x86_64): geppe_1.0.tgz, r-oldrel (x86_64): geppe_1.0.tgz

Reverse dependencies:

Reverse imports:

MLE

Linking:

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