Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm

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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()'