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 (may not be active yet)
Author: Shikhar Tyagi ORCID iD [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: not available, r-oldrel: not available
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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