 Usage:  {ll,ll1,ll2} = hazregll(data, beta)  

 

 Input:



  data                   n x (p+4) matrix, the first column is the sorted 

                         survival time t, followed by the sorted delta, 

                         inidcating if censoring has occured, labels l, a 

                         column containing the number of ties, and lastly, 

                         the sorted covariate matrix z. 

                         

  beta                   p x 1 vector, the parameter, coefficients of the 

                         covariate. 

                         

 Output:



  ll                     scalar, the log-likelihood function at 

                         parameter value beta 

                         

  ll1                    p x 1 vector, the first derivatives at parameter 

                         value beta of the log-likelihood function 

                         

  ll2                    p x p matrix, negative Hessian matrix at parameter 

                         value beta of the log-likelihood function 

                         

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(C) MD*TECH Method and Data Technologies, 21.9.2000

