StochFracPoisson: Stochastic Poisson Processes and Fractional Counting Models

Implementation of advanced stochastic counting processes. Main models include the Fractional Counting Process at Levy times (Garg et al. (2025) <doi:10.1007/s10955-025-03515-9>), the Generalized Iterated Poisson Process (Soni & Pathak (2024) <doi:10.1007/s10959-024-01362-0>), the Generalized Fractional Risk Process (Soni & Pathak (2024) <doi:10.1007/s11009-024-10111-z>), and the Tempered Space-Time Fractional Negative Binomial Process (Garg et al. (2025) <doi:10.1007/s11009-025-10179-1>).

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	stats
Suggests:	testthat (≥ 3.0.0)
Published:	2026-07-30
DOI:	10.32614/CRAN.package.StochFracPoisson
Author:	Shikhar Tyagi [aut, cre], Vrijesh Tripathi [aut]
Maintainer:	Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	StochFracPoisson results

Documentation:

Reference manual:

StochFracPoisson.html , StochFracPoisson.pdf

Downloads:

Package source:	StochFracPoisson_0.1.0.tar.gz
Windows binaries:	r-devel: StochFracPoisson_0.1.0.zip, r-release: StochFracPoisson_0.1.0.zip, r-oldrel: StochFracPoisson_0.1.0.zip
macOS binaries:	r-release (arm64): StochFracPoisson_0.1.0.tgz, r-oldrel (arm64): StochFracPoisson_0.1.0.tgz, r-release (x86_64): StochFracPoisson_0.1.0.tgz, r-oldrel (x86_64): StochFracPoisson_0.1.0.tgz

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