Estimates Parameters of Functions Driving Binomial Random Variables
Overview
Provides maximum likelihood estimates of the performance parameters that drive a binomial distribution of observed errors, and takes full advantage of zero error observations. High performance communications systems typically have inherent noise sources and other performance limitations that need to be estimated. Measurements made at high signal to noise ratios typically result in zero errors due to limitation in available measurement time. Package includes theoretical performance functions for common modulation schemes (Proakis, "Digital Communications" (1995, <ISBN:0-07-051726-6>)), polarization shifted QPSK (Agrell & Karlsson (2009, DOI:10.1109/JLT.2009.2029064)), and utility functions to work with the performance functions.
- Added a NEWS.md file to track changes to the package.
- This is the first release of the package.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 5 (1 internal)includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 27
- Median days to close, 50 most recently updated closed PRs
- not measured
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/philshea/binfunest on 2026-10-11.
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Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.0Latest2022-09-09 · current release
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-09-09
- Total releases
- 1 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.3 KB / 1 file
- Download size
- 119 KB
Cite
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