Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm
Estimating bootstrap statistics of bsw()
S4 Class "bsw"
Fitting a log-binomial model using the Bekhit-Schöpe-Wagenpfeil (BSW) ...
Extracting the estimated model parameters of bsw()
Estimating confidence intervals of the estimated model parameters of `...
Setting the linear inequality constraints for bsw()
Deriving the first derivatives of the log likelihood function of the l...
Deriving the second partial derivatives of the log likelihood function...
Summarizing the estimated model parameters of bsw()
Variable Selection (Forward or Backward) for models of BSW()
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.