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BSW  

Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BSW", "0.1.2")



Attach the package and use:
library("BSW")
Maintained by
Adam Bekhit
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-25
Latest Update: 2021-03-22
Description:
Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.
How to cite:
Adam Bekhit (2020). BSW: Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm. R package version 0.1.2, https://cran.r-project.org/web/packages/BSW. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-03-25 16:30), 0.1.1 (2021-03-22 17:20)
Other packages that cited BSW R package
View BSW citation profile
Other R packages that BSW depends, imports, suggests or enhances
Complete documentation for BSW
Functions, R codes and Examples using the BSW R package
Some associated functions: bsw-class . bsw . coef-bsw-method . confint-bsw-method . constr . gradF . hess . summary-bsw-method . 
Some associated R codes: bsw-class.R . bsw.R . coef-method.R . confint-method.R . constr.R . gradF.R . hess.R . summary-method.R .  Full BSW package functions and examples
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