StochFracPoisson
0.1.0Stochastic Poisson Processes and Fractional Counting Models
Overview
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).
Install
Health
- OK2026-08-0512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-019 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-317 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
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- References docs
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Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-07-30 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-30
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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