Reference

General utility functions Functions that are independent of specific fate modelling areas
geomean()	Calculate the geometric mean
one_box()	Create a time series of decline data
plot(<one_box>)	Plot time series of decline data
sawtooth()	Create decline time series for multiple applications
twa()	Calculate a time weighted average concentration
max_twa()	The maximum time weighted average concentration for a moving window
pfm_degradation()	Calculate a time course of relative concentrations based on an mkinmod model
SFO_actual_twa()	Actual and maximum moving window time average concentrations for SFO kinetics
FOMC_actual_twa()	Actual and maximum moving window time average concentrations for FOMC kinetics
set_nd_nq() set_nd_nq_focus()	Set non-detects and unquantified values in residue series without replicates This function automates replacing unquantified values in residue time and depth series. For time series, the function performs part of the residue processing proposed in the FOCUS kinetics guidance for parent compounds and metabolites. For two-dimensional residue series over time and depth, it automates the proposal of Boesten et al (2015).
Predicted environmental concentrations in soil
PEC_soil()	Calculate predicted environmental concentrations in soil
PEC_soil_mets()	Calculate initial and accumulation PEC soil for a set of metabolites
soil_scenario_data_EFSA_2015	Properties of the predefined scenarios from the EFSA guidance from 2015
soil_scenario_data_EFSA_2017	Properties of the predefined scenarios from the EFSA guidance from 2017
PEC_FOMC_accu_rel()	Get the relative accumulation of an FOMC model over multiples of an interval
EFSA_washoff_2017	Subset of EFSA crop washoff default values
Predicted environmental concentrations in groundwater
FOCUS_GW_scenarios_2012	A very small subset of the FOCUS Groundwater scenario definitions
EFSA_GW_interception_2014	Subset of EFSA crop interception default values for groundwater modelling
Predicted environmental concentrations in surface water
PEC_sw_drift()	Calculate predicted environmental concentrations in surface water due to drift
drift_data_JKI	Deposition from spray drift expressed as percent of the applied dose as published by the JKI
PEC_sw_drainage_UK()	Calculate initial predicted environmental concentrations in surface water due to drainage using the UK method
PEC_sw_sed()	Calculate predicted environmental concentrations in sediment from surface water concentrations
PEC_sw_focus()	Calculate PEC surface water at FOCUS Step 1
chent_focus_sw()	Create a chemical compound object for FOCUS Step 1 calculations
FOCUS_Step_12_scenarios	Step 1/2 scenario data as distributed with the FOCUS Step 1/2 calculator
PEC_sw_exposit_drainage()	Calculate PEC surface water due to drainage as in Exposit 3
PEC_sw_exposit_runoff()	Calculate PEC surface water due to runoff and erosion as in Exposit 3
perc_runoff_exposit	Runoff loss percentages as used in Exposit 3
perc_runoff_reduction_exposit	Runoff reduction percentages as used in Exposit
TOXSWA_cwa	R6 class for holding TOXSWA water concentration data and associated statistics
read.TOXSWA_cwa()	Read TOXSWA surface water concentrations
plot(<TOXSWA_cwa>)	Plot TOXSWA surface water concentrations
Classifications and indicators Evaluating environmental fate properties
SSLRC_mobility_classification()	Determine the SSLRC mobility classification for a chemical substance from its Koc
GUS() print(<GUS_result>)	Groundwater ubiquity score based on Gustafson (1989)
Utilities
get_vertex()	Fit a parabola through three points