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How are nominal variables specified in genmod Action?

Nominal variables for analysis are specified using the nominals parameter, which accepts a list of casinvardesc structures. Each structure defines attributes like format, formattedLength, label, name (required), nfd, and nfl for a variable.

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On: genmod

model.model.computedOnDemand

When set to True, creates the computed variables when the table is loaded instead of when the action begins. Alias: compOnDemand, Default: FALSE.

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On: IdentifySpeakers

outputTableOptions

specifies options for result tables. You can specify which result tables the server returns and how group-by results are handled. Alias: tblOpts. The outputTableOptions value can be one or more of the following: forceTableReturn: when set to True, result tables are returned to the client even if the output is also saved as an output table. Default: FALSE. tableNames: specifies the names of result tables to generate. By default, all result tables are returned. Alias: outputTables.

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On: highCardinality

model.attributes.vars

Specifies the variables to use in the action. The casinvardesc value can be one or more of the following: format, formattedLength, label, name (required), nfd, nfl.

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On: IdentifySpeakers

Which model selection criterion can be used in the mbcFit action to find the best model?

The 'criterion' parameter lets you specify the model selection criterion. Available options are 'AIC' (Akaike Information Criterion), 'AICC' (Corrected Akaike Information Criterion), 'BIC' (Bayesian Information Criterion), and 'LOGL' (Log-Likelihood).

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On: mbcFit