mxComputeNewtonRaphson {OpenMx} | R Documentation |
This optimizer requires analytic 1st and 2nd derivatives of the fit function. Comprehensive diagnostics are available by increasing the verbose level.
mxComputeNewtonRaphson(freeSet = NA_character_, ..., fitfunction = "fitfunction", maxIter = 100L, tolerance = 1e-12, verbose = 0L)
freeSet |
names of matrices containing free variables |
... |
Not used. Forces remaining arguments to be specified by name. |
fitfunction |
name of the fitfunction (defaults to 'fitfunction') |
maxIter |
maximum number of iterations |
tolerance |
optimization is considered converged when the maximum relative change in fit is less than tolerance |
verbose |
level of debugging output |
Luenberger, D. G. & Ye, Y. (2008). Linear and nonlinear programming. Springer.