Basic validation and utility functions built on top of the core
validators in core-validators. They cover four
common needs: scalar numeric validation
(check_numeric_value), fundamental model-parameter
feasibility (validate_basic_params), a safe fallback
empty-composition constructor (create_empty_composition),
and time-series structural checks
(validate_time_series_data).
Value
No return value; this page documents the basic validation functions module. See individual function documentation for return values.
References
Deslauriers, D., Chipps, S.R., Breck, J.E., Rice, J.A. and Madenjian, C.P. (2017). Fish Bioenergetics 4.0: An R-based modeling application. Fisheries, 42(11), 586–596. doi:10.1080/03632415.2017.1377558