Second Order Generalized Estimating Equations 
    for Correlated Binary Data (v0.5-pc)
      (C) Bahjat Qaqish, 1990

--  Title1: test of GEE2 for the PC --
--  Title2:  --
Data file: test2.dat
dim(x):            2
dim(b):            2
# classes          1
max #iter:        10
tolerance:  0.0010000000000
# clusters:       11
cluster size          #clusters
     1                     11
The model:
1 : B1 X1  B2 X2  
1.1 : 0

Method of computing 3rd and 4th order moments: The exact method.
-- GEE2 --

monitorb: iter =    0  b = 
       1   0.10000
       2   0.10000
monitorb: iter =    1  b = 
       1  -1.20317
       2   0.52848
monitorb: iter =    2  b = 
       1  -1.37723
       2   0.68414
monitorb: iter =    3  b = 
       1  -1.38627
       2   0.69312
monitorb: iter =    4  b = 
       1  -1.38629
       2   0.69315
Converged after     4 iterations.
Method of computing 3rd and 4th order moments: The exact method.
-- GEE2 --

Estimates:
Beta:                    Estimate    Robust s.e.     Naive s.e.     Robust z
1 Yi:1                 -1.38629        1.11803        1.11803       -1.23994  
2 Yi:x                  0.69315        1.41421        1.41421        0.49013  
(Lower = Correlation \ Upper = Variance)
Robust Correlation \ Variance Matrix Estimate:
( 1)  1.25000  -1.25000  
( 2) -0.79057   2.00000  

Naive  Correlation \ Variance Matrix Estimate:
( 1)  1.25000  -1.25000  
( 2) -0.79057   2.00000