 Usage:  {lr,alpha} = glmlrtest(loglik0,dim0,loglik1,dim1)  
 
 Input:

  loglik0                scalar, log-likelihood of the hypothesis model. 
                         
  dim0                   integer, dimension of the hypothesis model. 
                         
  loglik1                scalar, log-likelihood of the alternative model, 
                         loglik1 >= loglik0. 
                         
  dim1                   integer, dimension of the hypothesis model, 
                         dim1 >= dim0. 
                         
 Output:

  lr                     scalar, value of the lr test statistic. 
                         
  alpha                  scalar, significance level at which hypothesis 
                         is rejected. 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
