GENLINMIXED

GENLINMIXED is available in the Advanced Models option.

The GENLINMIXED procedure fits generalized linear mixed models.

GENLINMIXED
  [/DATA_STRUCTURE]
     SUBJECTS = fieldName[*fieldName[*...]]
     [REPEATED_MEASURES = fieldName[*fieldName[*...]]]
     [GROUPING = fieldName[*fieldName[*...]]]
     [COVARIANCE_TYPE = DIAGONAL** | AR1 | ARMA11 | COMPOUND_SYMMETRY | IDENTITY
                        TOEPLITZ | UNSTRUCTURED | VARIANCE_COMPONENTS]
  /FIELDS
    TARGET = fieldName
    [TRIALS = {NONE**          }]
              {VALUE(number)   }
              {FIELD(fieldName)}
    [ANALYSIS_WEIGHT = fieldName]
    [OFFSET = {NONE**          }]
              {VALUE(number)   }
              {FIELD(fieldName)}
  [/TARGET_OPTIONS]
    [REFERENCE = value]
    [DISTRIBUTION = NORMAL | BINOMIAL | MULTINOMIAL | GAMMA | 
                    INVERSE_GAUSSIAN | NEGATIVE_BINOMIAL | POISSON]
    [LINK = IDENTITY | CAUCHIT | CLOGLOG | LOG | LOGC | LOGIT | NLOGLOG | POWER | PROBIT ]
    [LINK_PARAMETER = number]
  [/FIXED]
    [EFFECTS = effect [effect ...]]
    [USE_INTERCEPT = TRUE** | FALSE]
  [/RANDOM]
    [EFFECTS = effect [effect ...]]
    [USE_INTERCEPT = TRUE | FALSE**]
    [SUBJECTS = fieldName[*fieldName[*...]]]
    [GROUPING = fieldName[*fieldName[*...]]]
    [COVARIANCE_TYPE = DIAGONAL | AR1 | ARMA11 | COMPOUND_SYMMETRY | IDENTITY
                      TOEPLITZ | UNSTRUCTURED | VARIANCE_COMPONENTS**]
  [/RANDOM ...]
  [/BUILD_OPTIONS]
    [TARGET_CATEGORY_ORDER = {ASCENDING**}]
                             {DESCENDING }
                             {DATA       }
    [INPUTS_CATEGORY_ORDER = {ASCENDING**}]
                             {DESCENDING }
                             {DATA       }
    [MAX_ITERATIONS = {100** }]
                      {number}
    [CONFIDENCE_LEVEL = {95**  }]
                        {number}
    [DF_METHOD = {RESIDUAL**   }]
                 {SATTERTHWAITE}
    [COVB = {MODEL**}]
            {ROBUST }
    [PCONVERGE = {1E-6**}[({ABSOLUTE**})] ] 
                 {value }  {RELATIVE  }
    [LCONVERGE = {0**  }[({ABSOLUTE**})] ]
                 {value}  {RELATIVE  }
    [HCONVERGE = {0**   }[({ABSOLUTE**})] ]
                 {value }  {RELATIVE  }
    [SCORING = {0**}]
               {n  } 
    [SINGULAR = {1E-12**}]
                {value  }
  [/EMMEANS 
    [TABLES = factor[*factor...]]
    [COMPARE = factor]
    [CONTRAST = {NONE**   }]
                {PAIRWISE }
                {DEVIATION}
                {SIMPLE   }
  [/EMMEANS...]
  [/EMMEANS_OPTIONS]
    [CONTROL = fieldName (number) [fieldName (number) ...]]
    [SCALE = {ORIGINAL** }]
             {TRANSFORMED}
    [PADJUST = {LSD**        }]
               {SEQBONFERRONI}
               {SEQSIDAK     }
  [/OUTFILE MODEL = 'file']
  [/SAVE [PREDICTED_VALUES(fieldName)]]
    [PREDICTED_PROBABILITY(rootname)]
    [MAX_CATEGORIES({25**   })]
                    {integer}
    [CONFIDENCE(fieldName)]
    [CONFIDENCE_METHOD({PREDICTEDPROBABILITY**})]
                       {PROBABILITYIMPROVEMENT}
    [CONFIDENCE_INTERVALS(rootname)]
    [PEARSON_RESIDUALS(fieldName)].

** Default if the 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 GENLINMIXED command can be generated from the Generalized linear mixed models dialog.

Release History

Example

GENLINMIXED
  /FIELDS TARGET=y1.