The function calls a model table with the parameterizations for
different species from different studies built in. Refer to the
table (model_table
) before using function to find inputs for
the different function arguments. It pulls the model format as a
string and parses it to be usable in hatchR model.
model_select(author, species, model_id, development_type = "hatch")
A data.frame giving model specifications to be passed to
predict_phenology()
.
Character string of author name.
Character string of species name.
Either model number from Beacham and Murray (1990) or specific to other paper (e.g., Sparks et al. 2017 = AK).
The phenology type. A vector with possible values "hatch" or "emerge". The default is "hatch".
library(hatchR)
# access the parameterization for sockeye hatching using
# model #2 from Beacham and Murray (1990)
sockeye_hatch_mod <- model_select(
author = "Beacham and Murray 1990",
species = "sockeye",
model_id = 2,
development_type = "hatch"
)
# print
sockeye_hatch_mod
Run the code above in your browser using DataLab