The HPLOGISTIC Procedure
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Overview
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Getting Started
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Syntax
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DetailsMissing ValuesResponse DistributionsLog-Likelihood FunctionsExistence of Maximum Likelihood EstimatesUsing Validation and Test DataModel Fit and Assessment StatisticsThe Hosmer-Lemeshow Goodness-of-Fit TestComputational Method: MultithreadingChoosing an Optimization AlgorithmDisplayed OutputODS Table Names
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Examples
- References
The CODE statement writes SAS DATA step code for computing predicted values of the fitted model either to a file or to a catalog entry. This code can then be included in a DATA step to score new data.
Table 9.2 summarizes the options available in the CODE statement.
Table 9.2: CODE Statement Options
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Option |
Description |
|---|---|
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CATALOG= |
Names the catalog entry where the generated code is saved |
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DUMMIES |
Retains the dummy variables in the data set |
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ERROR |
Computes the error function |
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FILE= |
Names the file where the generated code is saved |
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FORMAT= |
Specifies the numeric format for the regression coefficients |
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GROUP= |
Specifies the group identifier for array names and statement labels |
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IMPUTE |
Imputes predicted values for observations with missing or invalid covariates |
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LINESIZE= |
Specifies the line size of the generated code |
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LOOKUP= |
Specifies the algorithm for looking up CLASS levels |
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RESIDUAL |
Computes residuals |
For details about the syntax of the CODE statement, see the section CODE Statement in SAS/STAT 13.2 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 13.2 User's Guide.