Dear R users;
 
I am modelling densities of some species of birds, so I have a problem with a 
great ammount of zeros.
I have decided to try GLMs with the tweedie family, but in all the models I 
have tried  I got an NA for the AIC value.
Just  to check the problem I've compared the a glm using the Gaussian family 
with the identity link and a glm using the tweedie family with var.power=0 and 
link.power=1. These are equal, as expected, except the fact that the tweedie 
output gives me an NA for the AIC.
Can anyone help me with this problem?
Below you can find the two outputs I refer.
 
Best Wishes;
 
Catarina
 
> summary(glm(formula=ACIN~DIST_REF+DIST_H2O+DIST_OST+ 
> COTA+H2O_SUP+vasa,family=gaussian(link="identity")))
Call:glm(formula = ACIN ~ DIST_REF + DIST_H2O + DIST_OST + COTA +     H2O_SUP + 
vasa, family = gaussian(link = "identity"))
Deviance Residuals:       Min         1Q     Median         3Q        Max  
-0.112792  -0.042860  -0.021113  -0.006311   1.551824  
Coefficients:              Estimate Std. Error t value Pr(>|t|)  (Intercept) 
-6.625e-02  5.454e-02  -1.215   0.2256  DIST_REF     3.581e-06  1.336e-05   
0.268   0.7889  DIST_H2O    -3.168e-05  1.527e-05  -2.074   0.0391 *DIST_OST    
-1.799e-05  1.953e-05  -0.921   0.3579  COTA         5.648e-04  2.470e-04   
2.287   0.0230 *H2O_SUP     -2.172e-04  3.994e-04  -0.544   0.5870  vasa        
 3.695e-02  4.573e-02   0.808   0.4199  ---Signif. codes:  0 '***' 0.001 '**' 
0.01 '*' 0.05 '.' 0.1 ' ' 1 
(Dispersion parameter for gaussian family taken to be 0.02151985)
    Null deviance: 5.6028  on 257  degrees of freedomResidual deviance: 5.4015  
on 251  degrees of freedomAIC: -249.33
Number of Fisher Scoring iterations: 2
 
 
> summary(glm(formula=ACIN~DIST_REF+DIST_H2O+DIST_OST+ 
> COTA+H2O_SUP+vasa,control=glm.control(maxit=750),family=tweedie(var.power=0, 
> link.power=1)))
Call:glm(formula = ACIN ~ DIST_REF + DIST_H2O + DIST_OST + COTA +     H2O_SUP + 
vasa, family = tweedie(var.power = 0, link.power = 1),     control = 
glm.control(maxit = 750))
Deviance Residuals:       Min         1Q     Median         3Q        Max  
-0.112792  -0.042860  -0.021113  -0.006311   1.551824  
Coefficients:              Estimate Std. Error t value Pr(>|t|)  (Intercept) 
-6.625e-02  5.454e-02  -1.215   0.2256  DIST_REF     3.581e-06  1.336e-05   
0.268   0.7889  DIST_H2O    -3.168e-05  1.527e-05  -2.074   0.0391 *DIST_OST    
-1.799e-05  1.953e-05  -0.921   0.3579  COTA         5.648e-04  2.470e-04   
2.287   0.0230 *H2O_SUP     -2.172e-04  3.994e-04  -0.544   0.5870  vasa        
 3.695e-02  4.573e-02   0.808   0.4199  ---Signif. codes:  0 '***' 0.001 '**' 
0.01 '*' 0.05 '.' 0.1 ' ' 1 
(Dispersion parameter for Tweedie family taken to be 0.02151985)
    Null deviance: 5.6028  on 257  degrees of freedomResidual deviance: 5.4015  
on 251  degrees of freedomAIC: NA
Number of Fisher Scoring iterations: 2
 
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