R help - Feb 2008 - Cumulative multinomial regression using VGAM

Hi,

I am trying to carry out a multinomial regression using the cumlogit link
function. I have tried using the VGAM package, and have gotten some results...

fit1 <- vgam(Y ~ X1 + X2 + X3 + X4,
             cumulative(link=logit,intercept.apply=FALSE,parallel=TRUE),
             data = data1
             )

The problem arrises when I try to get the information out of the fitted object.
I can get the coefficient estimates using:

coef(fit1)

When using the summary, I get the following table:


Number of linear predictors:    5 

Names of linear predictors: logit(P[Y<=1]), logit(P[Y<=2]),
logit(P[Y<=3]), logit(P[Y<=4]), logit(P[Y<=5])

Dispersion Parameter for cumulative family:   1

Residual Deviance:  618.6155 on 1671 degrees of freedom

Log-likelihood: -309.3078 on 1671 degrees of freedom

Number of Iterations:  11 

DF for Terms and Approximate Chi-squares for Nonparametric Effects

              Df Npar Df Npar Chisq P(Chi)
(Intercept):1  1                          
(Intercept):2  1                          
(Intercept):3  1                          
(Intercept):4  1                          
(Intercept):5  1                          
X1        1                          
X2    1                          
X3            1                          
X4         1   


My question is, how do I get the P values ? I have looked through the structure
using str(fit1), but I seem to be unable to find it. I can't find the
standard error of the estimates either. Am I missing something ?

Thanks.

Robert

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