HILOGLINEAR

HILOGLINEAR is available in Custom Tables and Advanced Statistics.

HILOGLINEAR fits hierarchical loglinear models to multidimensional contingency tables using an iterative proportional-fitting algorithm.

HILOGLINEAR {varlist} (min,max) [varlist ...]
            {ALL    }

 [/METHOD [= BACKWARD]]

 [/MAXORDER = k]

 [/CRITERIA = [CONVERGE({0.25**})] [ITERATE({20**})] [P({0.05**})] 
                        {n     }            {n   }      {prob  }
              [DELTA({0.5**})] [MAXSTEPS({10**})]  
                     {d    }             {n   }
              [DEFAULT] ]

 [/CWEIGHT = {varname }]
             {(matrix)}

 [/PRINT = {[FREQ**] [RESID**] [ESTIM**][ASSOCIATION**]}]
           {DEFAULT**                                  }
           {ALL                                        } 
           {NONE                                       }

 [/PLOT = [{NONE**            } ]
           {DEFAULT           }
           {[RESID] [NORMPROB]}
           {ALL               }

 [/MISSING = [{EXCLUDE**}]] 
              {INCLUDE  } 

 [/DESIGN = effectname effectname*effectname ...]

** Default if subcommand or keyword is omitted.

This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.

Syntax for the HILOGLINEAR command can be generated from the Model Selection Loglinear Analysis dialog box.

Example

HILOGLINEAR V1(1,2) V2(1,2) 
  /DESIGN=V1*V2.