Problems with SsfFit

["Bernardo Ribeiro" <ribeirob@gmail.com>]

Hey all,

I'm working with a Term Structure model ans modelling it as part of a State Space form.
I modelled the State Space form but kee gettin this error whe I run SSfFit:

> ans.vasicek = SsfFit(start, 
fama.bliss, genvasicek.ssf, tau = tau, freq = 1/
    12, trace = T, lower = l, upper = u, control = nlminb.control(abs.tol
     = 1e-006,  , rel.tol = 1e-006, x.tol = 1e-006, eval.max = 1000, 
    iter.max = 500))
Iteration  0 : objective =  1389460 
Iteration  1 : objective =  11434.01 
Iteration  2 : objective =  2453.152 
Iteration  3 : objective =  6401.252 
Iteration  4 : objective =  -75.86472 
Iteration  5 : objective =  1e+010 
.....
Iteration  135 : objective =  -3807.041 
Iteration  136 : objective =  -3807.044 
Iteration  137 : objective =  -3807.051 
Iteration  138 : objective =  -3818.088 
Problem in .C("S_KalmanFil",: subroutine S_KalmanFil: Missing values in argument 5 
Use traceback() to see the call stack

When I call traceback() I get the following:

> traceback()
17: eval(action, sys.parent())
16: doErrorAction("Problem in .C(\"S_KalmanFil\",: subroutine S_KalmanFil: Missing values in argument 5",
15: .C("S_KalmanFil",
14: .C("S_KalmanFil",
13: KalmanFil(mY, ssf, ikf = ikf, task = "KFLIK")
12: SsfLoglike(mY, ssf.mod, ikf = ikf)
11: f(c(0., 0.449490474962204, 0.149007241071586
, 0.0121000776637863, 
10: eval(this.call, local = sys.parent(1.))
9: do.call("f", c(list(new$x), old$aux[names(f)[ - c(1, length(f))]]))
8: nlminb.0(temp, p, liv, lv, objective, bounds, scale)
7: nlminb.trace
(parm, loglike.fun, mY = data, FUN = FUN, conc = conc, scale = 
6: SsfFit(start, fama.bliss, genvasicek.ssf, tau = tau, freq = 1/12, trace = T,
5: eval(i, local)
4: source(auto.print = auto.print, exprs = substitute(
exprs.literal))
3: script.run(exprs.literal = {
2: eval(_expression_(script.run(exprs.literal = {
1: 
Message: Problem in .C("S_KalmanFil",: subroutine S_KalmanFil: Missing values in argument 5 

Doen anyone know what is going on?

Thanks a lot,

Bernardo