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binfunest  

Estimates Parameters of Functions Driving Binomial Random Variables
View on CRAN: Click here


Download and install binfunest package within the R console
Install from CRAN:
install.packages("binfunest")

Install from Github:
library("remotes")
install_github("cran/binfunest")

Install by package version:
library("remotes")
install_version("binfunest", "0.1.0")



Attach the package and use:
library("binfunest")
Maintained by
Philip Shea
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-09
Latest Update: 2022-09-09
Description:
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, )), polarization shifted QPSK (Agrell & Karlsson (2009, )), and utility functions to work with the performance functions.
How to cite:
Philip Shea (2022). binfunest: Estimates Parameters of Functions Driving Binomial Random Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/binfunest. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Complete documentation for binfunest
Functions, R codes and Examples using the binfunest R package
Some associated functions: B2BConvert . BERDFc . Theoretical . binfunest-package . mleB2B . 
Some associated R codes: B2BConvert.R . B2BQ.R . Data.R . mleB2B.R . theory.R .  Full binfunest package functions and examples
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