ipop (kernlab) gives pars < lower bound ?
hi again,
i have fixed some of the problems i emailed about previously-- the
answer is to fiddle with the "margin" variable. but new problems have
arisen: when i set the "margin" variable appropriately to preclude
negative values, i get the following error message:
Error in drop(.Call("La_dgesv", a, as matrix(b), tol, PACKAGE = "base")) :
system is comptuationally singular: reciprocal condition number = 1.57163 e-16
and i was wondering if there's anything i can do about it, or if my
data is just not good for this problem.
also, i am still curious about
(1) how to use ipop's "bound" argument
(2) what should i make of the warning message discussed below?
thanks again,
alexis
On 10/18/05, Alexis Diamond <alexisjdiamond at gmail.com> wrote:
hi everyone,
ipop very quickly and accurately identifies the correct parameters in
a toy dataset i built, but when i use ipop on the real dataset i get
values for the parameters " primal(res) " that are less than zero,
even though i specify zero for the lower bound : l = rep(0,
length(c)) , where length(c) is the number of parameters i'm trying to
identify.
the parameters are not A LOT less than zero-- they're close to zero,
but still too large a problem to ignore. (eg., i get a value X1 =
-0.006 -- it wouldn't be a problem if X1 was btw -1 e-5 and zero, but
it's not.)
can anyone suggest a remedy?
i'm wondering if this could be caused by where i've set my "range" and
my "bound". i've played a little with range, but it hasn't helped. i
don't know how to use "bound"-- i don't understand the info on "bound"
on the ipop Rhelp page.
"sigf" is at default 7 sig figs, and the negative numbers are not
within that threshold of zero.
i'm also wondering if this problem could be related to the warning
messages i receive when i run ipop :
Warning:
number of columns of result
not a multiple of vector length (arg 2) in: rbind(rho, tau, alpha, nu)
i get this warning message in both the toy dataset and the real
dataset, though as i mentioned i only get negative (illegal) parameter
values with the real dataset.
i don't know why i get this message, or what to do about it.
any advice is very much appreciated!
alexis