 Usage:  {y,mu} = genglm(code, x, b {,opt})  

 

 Input:



  code                   text string, the short code for the model (e.g. 

                         "bilo" for logit or "noid" for ordinary PLM). 

                         

  x                      n x k matrix, design. 

                         

  b                      k x 1 vector, coefficients. 

                         

  opt                    optional, a list with optional input. The macro 

                         "glmopt" can be used to set up this parameter. 

                         The order of the list elements is not important. 

                         Parameters which are not given are replaced by 

                         defaults (see below). 

                         

  opt.phi                nuisance parameter, usually the dispersion 

                         parameter. 

                         

  opt.wx                 scalar or n x 1 vector, the binomial index 

                         vector, only considered for binomial models. 

                         If not given, set to 1. 

                         

  opt.off                scalar or n x 1 vector, offset. 

                         If not given, set to 0. 

                         

  opt.pow                optional, power for power link. 

                         

  opt.nbk                scalar, extra parameter k for negative 

                         binomial distribution. 1/k is supposed 

                         to be a positive integer. 

                         If not given, set to 1 (geometric distribution). 

                         

 Output:



  y                      n x 1 vector, response. 

                         

  mu                     n x 1 vector, regression. 

                         

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

