-O

output type (default 0)

0

parameter b a m and log-likelihood

1

the estimated distribution function computed on the provided points

2

the estimated density function computed on the provided points

3

parameters b a m and their standard errors

-x

set initial conditions b,a,m (default 2,1,0)

-m

the mode is not estimated but is set to the value provided

-s

number of intervals to explore at each iteration (default 10)

-V

verbosity level (default 0)

0

just the final result

1

headings and summary table

2

intermediate steps results

3

intermediate steps internals

4+

details of optim. routine

-M

active estimation steps. The value is the sum of (default 7)

1

initial estimation based on method of moments

2

global optimization not considering lack of smoothness in m

4

local optimization taking non-smoothness in m into consideration

-G

set global optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .1,1e-2,100,1e-3,1e-5,3)

-I

set local optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .01,1e-4,200,1e-4,1e-5,5)

-F

input fields separators (default " \t")

-h

this help

tol

line search tolerance iter: maximum number of iterations

eps

gradient tolerance : stopping criteria ||gradient||<eps

msize

simplex max size : stopping criteria ||max edge||<msize

algo

optimization methods: 0 Fletcher-Reeves, 1 Polak-Ribiere, 2 Broyden-Fletcher-Goldfarb-Shanno, 3 Steepest descent, 4 Nelder-Mead simplex, 5 Broyden-Fletcher-Goldfarb-Shanno v.2, 6 Nelder-Mead simplex ver. 2, 7 Nelder-Mead simplex rnd init.