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.