View source: R/fit_model_dyn.R
fit_model_dyn_c | R Documentation |
Title
fit_model_dyn_c(area_sh_use, train_start_date, train_end_date, spec, data)
data |
Helpful to do as follows, putting possibly wrapper, with NA,
around the call on the function.
new_1 <- mkeq_use_3 %>%
mutate(
model = pmap(.l=list(area_sh, train_start_date,
train_end_date, spec),
.f=possibly(arlodr::fit_model_dyn_c, NA), data = df_use1)
)
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