 Usage:  testt = intertest1(t,y,h,g{,opt{,file}})  

 

 Input:



  t                      n x p matrix , the observed explanatory variable 

                         where the directions of interest have to be the 

                         first and second column 

                         

  y                      n x 1 vector , the observed 

                         response variables 

                         

  h                      p x 1 or 1 x 1 matrix , chosen bandwidth for 

                         the directions of interest in the estimation step 

                         

  g                      p x 1 or 1 x 1 matrix , chosen bandwidth for 

                         the directions not of interest in the estimation step 

                         

  opt.hyp                pp x 2 matrix, in the rows have to be all pairs 

                         of indices for interactions which shall be included 

                         in the hypothesis model. Thus (1,2) must not be 

                         a row of hyp. 

                         

  opt.boot               integer, number of bootstrap replications, default=249. 

                         

  opt.hb                 scalar, bandwidth multiplicator for the bootstrap step. 

                         When the test statistics are calculated we take 

                         bandwidths h*hb and g*hb instead of h, g. Default is 1. 

                         

  opt.weight             n x 1 vector, weights for the test statistics. 

                         Default is weight 1 for all. 

                         

  file                   string, file name of output, if an output of 

                         the function estimates is wished 

                         

 Output:



  testt                  string object, a table of results 

                         

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

