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How can I obtain predicted values or other statistics for each observation?

You can generate an output table with various statistics by using the 'output' parameter and specifying a CAS output table with 'casOut'. Within the 'output' parameter, you can request statistics such as predicted mean ('pred'), probability of the observed count ('prob'), and the linear predictor ('xbeta').

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On: countregFitModel

How do I specify the source model to be copied?

You must specify the source model using the `modelTable` parameter, which is a CAS table containing the model, and the `modelName` parameter, which identifies the specific model within that table.

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On: copyModelExternal

code={codegen}

specifies the settings for generating SAS DATA step scoring code. For more information about specifying the code parameter, see the common codegen parameter.

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On: impute

applyRowOrder

Specifies that you wish the action use a prespecified row ordering. This requires using the orderby and groupby parameters on a preliminary table.partition action call. Alias: reproducibleRowOrder. Default: FALSE.

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On: gbtreeScore

What is the `restore` parameter?

Restores regression models from a binary large object (BLOB). Long form: `restore={name="table-name"}`. Shortcut form: `restore="table-name"`. The castable value can be one or more of the following: caslib, dataSourceOptions, name (required), whereTable (with sub-parameters casLib, dataSourceOptions, importOptions, name (required), vars, where).

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On: genmodScore