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 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

bootbsw | Estimating bootstrap statistics of 'bsw()'
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()'
variable_selection_bsw | Variable Selection (Forward or Backward) for models of 'BSW()'