# Default simulation for fitting and testing.
set.seed(42)
default_sim <- salmon_sim()
default_sim_to_fit <- default_sim
R_prime_T <- default_sim_to_fit$"R_prime_t"[nrow(default_sim_to_fit)]
default_sim_to_fit[nrow(default_sim_to_fit), "R_prime_t"] = NA # Ensure no
# knowledge of it for pbsEDM(), so it
# doesn't affect the rho values (else it does)
# If change this again then see the tests in test-salmon_sim.R for things to check
default_sim_fit <- pbsEDM::pbsEDM(default_sim_to_fit,
lags = list(R_prime_t = 0,
S_t = 0:3),
first_difference = TRUE,
centre_and_scale = TRUE)
testthat::expect_equal(default_sim_to_fit$R_prime_t,
default_sim_fit$N_observed[-length(default_sim_fit$N_observed)])
# So remove the final value and put back in the observed T value, which we want
# to compare to the simulated
default_sim_fit$N_observed <-
default_sim_fit$N_observed[-length(default_sim_fit$N_observed)]
default_sim_fit$N_observed[length(default_sim_fit$N_observed)] <- R_prime_T
default_sim_fit_realisations <- sim_and_fit_realisations(M = 42)
# so the last row results should match default_sim_fit results
testthat::expect_equal(
dplyr::as_tibble(cbind(m = 42,
R_prime_T_sim =
default_sim$R_prime_t[nrow(default_sim)],
# that wasn't input so can't save from fit
R_prime_T_edm_fit = default_sim_fit$N_forecast[80],
default_sim_fit$results)),
dplyr::filter(default_sim_fit_realisations,
m == 42))
usethis::use_data(default_sim,
overwrite = TRUE)
usethis::use_data(default_sim_fit,
overwrite = TRUE)
usethis::use_data(default_sim_fit_realisations,
overwrite = TRUE)
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