Help with MCMC fitting in R

Hi,

I found this email address from the R-Forge website and was hoping you
could help me with a problem I am having.  I keep getting an error message
every time I try to preform a *post hoc* Markov chain on my zero-inflated,
neg. binomial mixed model.  Below is my code and the error message I keep
getting.  If I can't make this work, can you recommend any other ways of
validating my model? I really can't find anything on this topic.

glmmNB<- glmmadmb(CON_XAL~Treatment+(1|Site), data = SR.year.raw,

zeroInflation = TRUE, family = "nbinom")

summary(glmmNB) #Summary output is attached to this email as a picture

fit_glmmNB <- glmmadmb(CON_XAL~Treatment+(1|Site),

                       data=SR.year.raw,

                       zeroInflation=TRUE, save.dir = "TMP",
                       family="nbinom",
                       mcmc=TRUE,
                       mcmc.opts=mcmcControl(mcmc=5000))

And the error message I get:

Error in R2admb::read_psv(file_name) : no PSV file found

In addition: Warning messages:
1: In glmmadmb(CON_XAL ~ Treatment + (1 | Site), data = SR.year.raw,  :
  file glmmadmb.std exists: overwriting
2: running command 'C:\Windows\system32\cmd.exe /c glmmadmb -maxfn 500
-maxph 5 -noinit -shess -mcmc 1000 -mcsave 1 -mcmult 1' had status 42

I tried running this:

mcmc.control <- function(mcmc=50000,

}:

But then when I run my model again, I get this error message:

Parameters were estimated, but standard errors were not: the most likely

problem is that the curvature at MLE was zero or negative
Error in glmmadmb(CON_XAL ~ Treatment + (1 | Site), 

data = SR.year.raw,  :

  The function maximizer failed (couldn't find parameter file)

I've tried for weeks to fix this problem and I just don't know what to do.
If my data is just not suitable enough for this *post hoc* procedure, can
you please recommend another way to validate my model so I can ensure that
it fits well?

I attached my data and would be happy to send any other information that
may help figure out a solution.  I am looking at the "Treatment" effect on
seed abundances of 11 species (ignore ALL_PSI).  Site is my random factor.
I am looking at species separately.