Time Series Analysis Package
OUTDPROB Object
The OUTDPROB object collects output from a DPF object.
Table 16 summarizes the methods that are associated with the OUTDPROB object.
Table 16: Methods of the OUTDPROB Object
Figure 10 diagrams the methods of the OUTDPROB object.
Figure 10: OUTDPROB Data Flow
OUTDPROB Methods
OUTDPROB.Collect Method
rc=obj.Collect (DPFObj);
Collects the results from a DPF object and saves them to a table.
Arguments
You must specify the following input argument:
- DPFObj
is a character string that specifies the name of the DPF object to use as the source of the prediction of the count distribution.
OUTDPROB.nrows Attribute
nrows=obj.nrows ();
Gets the current row count from the OUTDPROB object.
Arguments
There are no arguments associated with this method.
Output Table Schema
- OUTDPROB
-
collects predictions using the count distribution that has the best fit. The output table contains the columns that are shown in Table 17.
Table 17: OUTDPROB Output Table Contents
Column Name Column Content _NAME_ Name of target variable IndexIndex ValueValues ObservedzerosObserved zeros ExpectedzerosExpected zeros ObservedObserved counts ExpectedExpected counts ExpectedlowerExpected lower confidence ExpectedupperExpected upper confidence ProbabilityProbability ProbabilitylowerProbability lower confidence ProbabilityupperProbability upper confidence ChisquareChi-square statistic ChisquareprobChi-square probability ChisquarelogprobChi-square log probability