Nothing
test_that("elimination_rate", {
skip_on_cran()
# # small test to run fast
# data("Male_Gammarus_Single")
# modelData_MGS_ke <- modelData(Male_Gammarus_Single, time_accumulation = 4)
# fit_MGS_ke <- fitTK(modelData_MGS_ke, iter = 1000, chains = 2)
# plot(fit_MGS_ke)
# plot_PriorPost(fit_MGS_ke)
#
#
# modelData_MGS_ke0 <- modelData(Male_Gammarus_Single, time_accumulation = 4, elimination_rate = 1e-9)
# fit_MGS_ke0 <- fitTK(modelData_MGS_ke0, iter = 1000, chains = 2)
# plot(fit_MGS_ke0)
# ppc(fit_MGS_ke0)
# plot_PriorPost(fit_MGS_ke0)
#
# data("Male_Gammarus_seanine_growth")
# modelData_MGSG_ke <- modelData(Male_Gammarus_seanine_growth, time_accumulation = 1.417)
# fit_MGSG_ke <- fitTK(modelData_MGSG_ke, iter = 1000, chains=2)
# plot(fit_MGSG_ke)
# modelData_MGSG_ke0 <- modelData(Male_Gammarus_seanine_growth, time_accumulation = 1.417, elimination_rate = 1e-9)
# fit_MGSG_ke0 <- fitTK(modelData_MGSG_ke0, iter = 1000, chains=2)
# plot(fit_MGSG_ke0)
# ppc(fit_MGSG_ke0)
#
# data("Chiro_Creuzot")
# Chiro_Creuzot <- Chiro_Creuzot[Chiro_Creuzot$replicate == 1,]
# modelData_CC_ke <- modelData(Chiro_Creuzot, time_accumulation = 1.0, elimination_rate = 1e-9)
# fit_CC_ke <- fitTK(modelData_CC_ke, iter = 1000, chains=2)
# plot(fit_CC_ke)
# modelData_CC_ke0 <- modelData(Chiro_Creuzot, time_accumulation = 1.0, elimination_rate = 1e-9)
# fit_CC_ke0 <- fitTK(modelData_CC_ke0, iter = 1000, chains=2)
# plot(fit_CC_ke0)
# ppc(fit_CC_ke0)
})
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