R: Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil (BSW) Algorithm

# Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil (BSW) Algorithm

## Documentation for package ‘BSW’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

bsw | Fitting a log-binomial model using the Bekhit-Schöpe-Wagenpfeil (BSW) algorithm
bsw-class | S4 Class '"bsw"'
coef-method | Extracting the estimated model parameters of 'bsw()'
confint-method | Estimating confidence intervals of the estimated model parameters of 'bsw()'
constr | Setting the linear inequality constraints for 'bsw()'
gradF | Deriving the first derivatives of the log likelihood function of the log-binomial model in 'bsw()'
hess | Deriving the second partial derivatives of the log likelihood function of the log-binomial model in 'bsw()' (Hessian matrix)
summary-method | Summarizing the estimated model parameters of 'bsw()'