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).
No return value; this page documents the basic validation functions module. See individual function documentation for return values.
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. tools:::Rd_expr_doi("10.1080/03632415.2017.1377558")