Other packages > Find by keyword >

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 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited binfunest R package
View binfunest citation profile
Other R packages that binfunest depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA