Dear R Helpers

This is the R code (which I have slightly changed) I got in VGAM package for 
estimating the parameters of FRECHET.

_________________________________________________________________

y = rfrechet(n <- 100, shape=exp(exp(0)))       #    (A)

fit3 = vglm(y ~ 1, frechet3(ilocation=0), trace=TRUE, maxit=155)   #   (B)

coef(fit3, matrix=TRUE)                               #   (C)

Coef(fit3)                                            #   (D)

fitted(fit3)[1:5,]                                    #   (E)

mean(y)                                               #   (F) 

weights(fit3, type="w")[1:5,]                         #   (G) 
                             

vcov(fit3)                                            #    (H)    

f...@extra$location[1:3]  # Estimate of the location parameter  #    (I)
    
f...@extra$lhsanchor      # Anchor Point              #    (J)

_________________________________________________________________

When I run these commands using R I get following output corresponding to each 
command line 


OUTPUT # (A)

[1]  0.7495887  1.1578511  0.8872487  0.7781103  1.1026540  1.8557026  
1.1527270  1.1538885

[9]  1.0436005  0.8702552  1.0326653  1.1456378  1.1292287  0.9779141  
0.7882611  2.0040318

[17]  0.8832376  1.6684632  0.7112340  1.8440806  0.8103669  0.6171517  
0.6632612  0.9288173

[25]  1.2625774  1.2371949  2.3995687  0.9674406  1.2205647  2.2997349  
1.3561988  1.0257294

[33]  0.7693035  1.3112102  1.2841138  0.5207330  0.8861406  0.7819666  
1.1376008  1.3396068

[41]  0.6828540  0.7358596  0.8678724  1.1191930  0.9581007  0.8645687  
1.0269345  0..9853376

[49]  0.7861684  2.2938797  0.5994656  1.3733527  3.0904095  2.7179989  
0.8408945  0.9995262

[57]  1.0456575  0.6139744 17.4274447  0.5928158  1.6172649  0.7354806  
1.4714551  0.7851852

[65]  1.9091740  1.0862915  1.9082128  1.0051395  1.0991948  1.6698645  
2.8901334  0.8174091

[73]  1.3964180  0.7452934  0.8133906  1.2417527  2.1583672  1.1822409  
0.8068691  0.8410480

[81]  1.2394454  1.3391757  1.0867579  1.3395385  1.2791401  0.7897431  
1.2112373  1.6531473

[89]  1.7432403  6.7756058  0.9385585  1.5561437  0.9590773  0.7936483  
2.5215168  1.1984615

[97]  0.6345925  1.4218795  2.3178357  1.5454827



OUTPUT # (B)

In vglm.fitter(x = x, y = y, w = w, offset = offset, Xm2 = Xm2,   :  
convergence not obtained in 155 iterations.




OUTPUT # (C) 

> coef(fit3, matrix=TRUE)                               

                log(difference)  log(scale)      loglog(shape)
(Intercept)      -0.7954072      -0.1283776      -0.03175329




OUTPUT # (D)

> Coef(fit3))

                 difference     scale           shape 
                  0.4513974     0.8795212       2.6346374

(IS IT THAT THESE GIVE THE SCALE AND SHAPE PARAMETER  ESTIMATES OF FRECHET.?)



OUTPUT # (E)

> fitted(fit3)[1:5,]          

[1] 1.339454  1.339454  1.33954  1.339454  1.339454


(WHAT DOES THIS MEAN?)



OUTPUT # (F)

> mean(y) 

[1] 1.439024



OUTPUT # (G)    

weights(fit3, type="w")[1:5,]                                           
         

 [,1]                    [,2]                   [,3]            [,4]            
        [,5]                    [,6]

[1,] 24.264915  46.60547        38.864660       -33.624853      40.492033       
-29.075460

[2,]  7.599936  14.18608        1.554636        -9.724618       2.440009        
-2.670739

[3,]  6.486803  26.53437        1.855081        -12.926846      -5.700736       
2.433455

[4,] 16.768849  37.36856        36.299447       -25.025068      34.078418       
-22.643518

[5,]  9.562077  15.87083        2.671884        -11.625172      4.418292        
-4.454716



(WHAT DOES THIS MEAN?)



OUTPUT # (H)

vcov(fit3)                                                      
                   (Intercept)1  (Intercept)2    (Intercept):3
(Intercept) : 1   0.0022605491   0.0021317673    -1.576056e-04
(Intercept) : 2   0.0021317673   0.0020926942    -1.780387e-04
(Intercept) : 3  -0.0001576056  -0.0001780387     3.892675e-05


Warning message:

In summaryvlm(object, corr = FALSE, dispersion = dispersion) :   the estimated 
variance-covariance matrix is usually inaccurate as the working weight matrices 
are a crude BFGS quasi-Newton approximation


OUTPUT # (I)    

f...@extra$location[1:3] # Estimate of the location parameter 

         1               2                      3 
0.06930899       0.06930899     0.06930899

(What does this MEAN? IS IT THAT 'D' gives SCALE and SHAPE parameter whereas 
this gives me LOCATION parameter?)



OUTPUT # (J)    

f...@extra$lhsanchor # Anchor point                                 

[1] 0.520733

(What does this mean?)



My problem is to calculate the estimators of 3 Parameter FRECHET distribution. 
Which of the above figures give me estimates of the three parameters of the 
FRECHET distribution.



With regards and thanking in advance,


Maithili




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