glmBfp (version 0.0-60)

cppBfgs: Interface to the internal C++ optimization routine "bfgs"

Description

Interface to the internal C++ optimization routine "bfgs"

Usage

cppBfgs(
  x0,
  f_,
  min.x = c(-Inf),
  max.x = c(+Inf),
  prec = 1e-05,
  verbose = FALSE
)

Arguments

x0

the start value

f_

the target function

min.x

minimum bound on x (default -Inf)

max.x

maximum bound on x (default +Inf)

prec

precision (default 1e-5)

verbose

be verbose? (not default)

Value

A list with the following elements:

par

the minimum abscissa found by the algorithm

inv.hessian

the inverse Hessian at par

evaluations

list of the function evaluation pairs: args and vals

code

the convergence code. 0 is “OK”, -1 is “lost precision”, and +1 is “change not large enough”