The TCOUNTREG Procedure (Experimental)
- Overview
- Getting Started
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Syntax
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DetailsSpecification of RegressorsMissing ValuesPoisson RegressionNegative Binomial RegressionZero-Inflated Count Regression OverviewZero-Inflated Poisson RegressionZero-Inflated Negative Binomial RegressionVariable SelectionPanel Data AnalysisComputational ResourcesNonlinear Optimization OptionsCovariance Matrix TypesDisplayed OutputOUTPUT OUT= Data SetOUTEST= Data SetODS Table NamesODS Graphics
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Examples
- References
OUTPUT Statement
OUTPUT <OUT=SAS-data-set> <output-options> ;
The OUTPUT statement creates a new SAS data set that contains all the variables in the input data set and, optionally, the
estimates of 
, the expected value of the response variable, and the probability of the response variable taking on the current value or
other values that you specify. In a zero-inflated model, you can additionally request that the output data set contain the
estimates of 
and the probability that the response is zero as a result of the zero-generating process. Except for the probability of the
current value, these statistics can be computed for all observations in which the regressors are not missing, even if the
response is missing. By adding observations with missing response values to the input data set, you can compute these statistics
for new observations or for settings of the regressors that are not present in the data without affecting the model fit.
You can specify only one OUTPUT statement. You can specify the following output-options:
- OUT=SAS-data-set
- XBETA=name
- PRED=name
-
names the variable that contains the predicted value of the response variable.
- PROB=name
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names the variable that contains the probability of the response variable taking the current value, Pr(
).
- PROBCOUNT(value1 <value2...>)
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outputs the probability of the response variable taking particular values. Each value should be a nonnegative integer. Nonintegers are rounded to the nearest integer. value can also be a list of the form X TO Y BY Z. For example, PROBCOUNT(0 1 2 TO 10 BY 2 15) requests predicted probabilities for counts 0, 1, 2, 4, 5, 6, 8, 10, and 15. This option is not available for the fixed and random effect panel models.
- ZGAMMA=name
- PROBZERO=name
-
names the variable that contains the value of
, the probability of the response variable taking on the value of zero as a result of the zero-generating process. It is written
to the output file only if the model is zero-inflated. This is not the overall probability of a zero response; that is provided
by the PROBCOUNT(0) option.