Dear All,

I have been facing problem running the following code by using
---glamADMB()--

glmmadmb(y_zibb~x+factor(z)+g, data= data_mis_model, family =
"betabinomial", link = "logit", zeroInflation=T)

where "y_zibb" contains zero inflated Beta Binomial response ,
"x" is a normal random variate
"z" is a binomial random variate
"g" is a exponential random variate

the error message----

Error in glmmadmb(y_zibb ~ x + factor(z) + g, data = data_mis, family =
"betabinomial",  :
  The function maximizer failed (couldn't find STD file) Troubleshooting
steps include (1) run with 'save.dir' set and inspect output files; (2)
change run parameters: see '?admbControl'
In addition: Warning message:
running command 'C:\Windows\system32\cmd.exe /c
"C:/Users/rajibulmian/Documents/R/win-library/3.1/glmmADMB/bin/windows64/glmmadmb.exe"
-maxfn 500 -maxph 5 -noinit -shess' had status 22


I have tried the  "change run parameters: see '?admbControl'" in different
combinations but couldn't help.  I am giving part of the data with this
mail.

Any related suggestions would help. Thank you.

Best.
Rajibul Mian
Grad Student, Maths & STATS,
UWindsor, Canada.

> data_1.1
    y_zibb           x z            g
1        0 -0.70831528 1  1.602785996
2        3 -0.32331815 1  0.831407214
3        0 -2.05941215 1  0.650309590
4        0  0.22345640 1  2.013147059
5        4 -0.02260530 1  1.010770937
6        0  0.41063599 1  9.841200077
7        0 -0.27111008 1  4.775681308
8        0 -0.90399357 1  0.678469073
9        0 -0.21160307 1  0.587509666
10       0  0.51008466 1 13.319207785
11       0 -0.36962273 1  1.887824721
12       2 -1.21637275 1  0.141308926
13       4  1.73440462 1  2.814891045
14       0 -1.86476212 1  0.386971429
15       0  1.07689662 1 17.253689635
16       0  0.23607722 1  9.198818246
17       3  0.03394251 1  1.404774209
18       0 -0.10670341 1  2.077441431
19       1 -0.23824605 1  0.314909883
20       0  0.53283023 1  3.596400185
21       0  0.71945685 1  2.993815578
22       0 -0.13024029 1  1.964736924
23       0  0.92416910 1  9.673752923
24       0 -0.92298331 1  0.792285493
25      10  0.98517223 1  1.567268204
26       0  0.10433251 1  4.673927310
27       0  2.10846046 1 75.349443534
28       5 -1.12503768 1  0.142990925
29       0 -2.47825534 1  0.241978061
30       0 -1.08583187 1  0.515987352
31       0  0.64048390 1  5.098926550
32       1 -0.88969228 1  0.503474613
33       0 -0.16779828 1  1.684149788
34       0  0.82662611 1  6.385677897
35       0 -0.44514250 1  0.844595034
36       0  0.45598726 1  9.167616197
37       0  1.03992120 1 17.542789654
38       0  0.30921449 1  4.928620109
39      10  1.37654621 1  0.418826580
40       0 -2.07963222 1  0.504243533
41       0 -0.71445442 1  1.422897406
42       0 -0.17698607 1  2.281385821
43       0 -1.41397985 1  0.950113833
44       5 -0.05603664 1  0.026711412
45       0  1.18085685 1  7.968393359
46       0 -1.42712319 1  0.265753521
47       1  0.36624726 1  0.726887621
48       2 -0.07007853 1  0.110673821
49       9  0.03312541 0  0.195405418
50       3  0.93702301 1  2.627385605
51       0 -1.13503249 1  1.518358634
52       0  2.06594414 1  5.591526979
53       0 -0.07753747 1  0.257995623
54       0 -1.41712978 1  0.414007962
55       0 -0.11467222 1  6.593021303
56       0 -0.67663152 1  1.920362677
57       0 -1.25946709 1  0.468575507
58       0 -0.10413777 1  3.013570422
59       2 -0.28993567 1  0.486799873
60       0 -0.74470897 1  3.268832439
61       0 -0.14126025 1  8.895375244
62       0 -0.95046484 1  1.937304244
63       0 -0.38973723 1  4.768559875
64       0 -0.65199618 1  0.049446373
65       0 -1.67817514 1  2.084499621
66       0 -1.09213709 1  0.543480216
67       0  0.90409033 1  7.134107529
68       0 -0.27136793 1  5.018014588
69       0  1.29961758 1  7.998504598
70       0 -1.96507466 1  0.061694069
71       0 -0.56632607 1  1.219662661
72      10  0.75245339 1  2.431831339
73       0 -0.58615254 1  1.650349444
74       0 -1.70083914 1  0.548665930
75      10  2.72298030 1  3.649058852
76       8 -0.02931652 0  0.377669036
77       0  0.57993817 1  6.665180703
78      10 -0.65546859 1  0.078809379
79       0 -0.35456811 1  0.969879513
80       1  0.17488927 1  0.839117062
81       0  1.14114019 1  2.550525651
82       0 -0.25904224 1  8.168522371
83       0 -0.53645908 1  0.739362736
84       1  1.49330806 1  2.470447317
85       0  0.48798720 1  1.740090210
86       0  1.26056056 1 15.910276148
87       0  1.44570294 1 27.466041160
88      10  1.58047602 0  1.879686645
89       0 -1.25092350 1  0.105398990
90       0 -1.07317723 1  0.661653046
91       0  0.09290631 1  5.346715966
92       0 -1.20816816 1  0.009029402
93       0  1.19444228 1  7.934533158
94       7  0.49125761 1  0.183279799
95       0  0.88237768 1 22.911004715
96       0  0.90212421 1 12.408199541
97       2 -1.09359684 1  0.100522580
98       0 -0.84970307 1  5.478555564
99       0 -1.66901382 1  0.198956403
100     10  1.91358621 0  0.063227749

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