bgw_drglg {bgw}R Documentation

bgw_drglg

Description

An r wrapper to call drglg_c, which in turn is a wrapper to call the Fortran subroutine drglg. drglg is the BGW iteration driver for performing statistical parameter estimation

Usage

bgw_drglg(
  d,
  dr,
  iv,
  liv,
  lv,
  n,
  nd,
  nn,
  p,
  ps,
  r,
  rd,
  v,
  x,
  rhoi,
  rhor,
  i_itsum
)

Arguments

d

Scaling vector

dr

Derivative of the choice probability model wrt x

iv

BGW internal vector of integer values

liv

Length of iv.

lv

Length of v.

n

Dimension of vector (r) of generalized residuals for the model

nd

Leading dimension dr. Must be at least ps.

nn

Leading dimension of r, rd

p

Dimension of x (as well as d, g) = number of parameters being estimated

ps

Number of non-nuisance parameters (= p in this implementation)

r

Vector of generalized residuals for the model

rd

Vector of storage space for regression diagonostics (not currently used)

v

BGW internal vector of numeric values

x

Parameter vector for which the objective function is being minimized

rhoi

Vector of integers for use by user (not currently used)

rhor

Vector of numeric values for use by user (not currently used)

i_itsum

Variable for passing itsum instruction back to bgw_mle

Value

out List of return values.


[Package bgw version 0.1.2 Index]