[R] party with mob - parameter estimates not significant in terminal nodes

tudor tudor_bodea at hotmail.com
Tue Oct 5 15:20:51 CEST 2010


Dear useRs:

I successfully model-based partitioned several datasets through the use of
mob from the party package (thanks Achim et al. once again !!!).  At times,
however, the partitioning leads to terminal nodes in which the parameter
estimates of the model are not significant (although the split points and in
general the proposed segmentation both seem reasonable).  As I do not seem
to be able to come up with an intuitive explanation/interpretation for this
(other than that the partitioning model may be appropriate for parts of the
dataset(s)), I wonder if any of you could share your thoughts on this topic
with me.  For your convenience I attached a relevant set of results below.
My system: Windowd XP, R 2.11.1, party version 0.9-9997.

Thanks.

Tudor



$`2`

Call:
NULL

Deviance Residuals: 
                Min                   1Q               Median                  
3Q                  Max  
-2.1613499829328759  -0.1182099512510448   0.0000000000000000  
0.1199438072333263   1.7963628663418680  

Coefficients:
                       Estimate          Std. Error  z value            
Pr(>|z|)    
(Intercept) 38.6736721222665096  5.1182299436934375  7.55606
0.000000000000041545 ***
P           -3.8195232976021787  0.5042297985419135 -7.57497
0.000000000000035922 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 407.0806101624161  on 293  degrees of freedom
Residual deviance: 132.0087256781199  on 292  degrees of freedom
AIC: 136.0087256781199

Number of Fisher Scoring iterations: 7


$`3`

Call:
NULL

Deviance Residuals: 
                    Min                       1Q                   Median                      
3Q                      Max  
-0.00009134433923085110   0.00000000000000000000   0.00000000000000000000  
0.00000000000000000000   0.00009204763394325872  

Coefficients:
                        Estimate           Std. Error  z value Pr(>|z|)
(Intercept)   1755.7555999083327 601505.6700290179579  0.00292  0.99767
P             -181.3394660743267  62127.5207770660636 -0.00292  0.99767

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 94.20918454290385568583588  on 67  degrees of freedom
Residual deviance:  0.00000001683616309495537  on 66  degrees of freedom
AIC: 4.000000016836163

Number of Fisher Scoring iterations: 25

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