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Easily define templates for lists and data frames that validate each element. Specify the expected type (i.e., character, numeric, etc), expected length, minimum and maximum values, allowable values, and more for each element in your data. Decide whether violations of these expectations should throw an error or a warning. This package is useful for validating data within R processes which pull from dynamic data sources such as databases and web APIs to provide an extra layer of validation around input and output data.
The package is also experimenting with typing (i.e., enforcing
variables to be a specific type). This can be enforced using
dataclass::enforce_types() in your function header. Learn
more about this using ?dataclass::enforce_types.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.