survival: Survival rate

Description

Derives the survival rate of individuals for Reduced GUTS models. Function was replaced by output of simulate() and will be removed in a later version.

Usage

survival(scenario, ...)

Value

a data.frame containing simulation results

Arguments

scenario: an EffectScenario to simulate
...: additional parameters passed on to simulate()

Details

The survival rate describes the survival probability at each time point. The function simulates the GUTS scenario and appends a column survival to the simulation result. A value of one (1.0) denotes that all individuals survive. A value of zero (0.0) denotes that no individuals survived.

Only available for Reduced GUTS models, see GUTS-RED-models. The equations were described by EFSA (2018).

References

EFSA PPR Panel (EFSA Panel on Plant Protection Products and their Residues), Ockleford C, Adriaanse P, Berny P, et al., 2018: Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms. EFSA Journal 2018; 16(8):5377, 188 pp. tools:::Rd_expr_doi("10.2903/j.efsa.2018.5377")

Examples

Run this code

# calculate survival rate
minnow_it %>% survival()

# plot survival over time based on a random exposure profile
minnow_sd %>%
  set_exposure(data.frame(t=1:100, c=runif(100)*10)) %>%
  survival() -> df
plot(df$time, df$survival, "l")

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