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The listRegions action lists all the S3 regions that are defined for the CAS ser...
Reshapes a table from a long format (multiple rows per subject) to a wide format...
The `actionSetToTable` action transforms a user-defined action set, which is a c...
Yes, you can use the "tests" parameter to specify linear hypotheses about the regression parameters. The action supports Wald, Lagrange multiplier (LM), and likelihood ratio (LR) tests.
When set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs. Default: FALSE.
specifies the maximum random number to generate.
The 'serverDate' result is a string. You can access the value from results.serverDate.
You can control missing value imputation using the 'missing' parameter for input variables and 'targetMissing' for the target variable. Options include 'MEAN', 'MAX', or 'MIN' to replace missing values with the mean, maximum, or minimum value of the variable. If set to 'NONE' (the default for interval variables), observations with missing values are ignored. For nominal variables, a new category is created for missing values by default.