BeeGUTS (version 1.5.0)

LCx.beeSurvFit: Predict the Lethal Concentration at which \(x\%\) of organisms die for any specified time-point for a beeSurvFit object

Description

Predict the Lethal Concentration at which \(x\%\) of organisms die for any specified time-point for a beeSurvFit object

Usage

# S3 method for beeSurvFit
LCx(
  object,
  X = 50,
  testType = "Chronic_Oral",
  timeLCx = NULL,
  concRange = NULL,
  nPoints = 100,
  ncores = NULL,
  ...
)

Value

A object of class LCx containing the results of the lethal concentration predictions

Arguments

object

An object of class beeSurvFit

X

Percentage of individuals dying (e.g., \(50\) for the \(LC_{50}\))

testType

Test type for which the \(LC_{X}\) is calculated amongst "Acute_Oral", "Acute_Contact", and "Chronic_Oral". Note that for "Acute_Oral" and "Acute_Contact", the concentration will be reconstructed as in the dataGUTS function (not recommended as this might not make sense for \(LC_{X}\) estimations. Default is "Chronic_Oral"

timeLCx

A scalar giving the time at which \(LC_{x}\) is predicted. If NULL, the latest time point of the experiment used in the calibration is used

concRange

A vector of length 2 with minimal and maximal value of the range of concentration. If NULL, the range is define between 0 and the highest tested concentration of the calibration experiment.

nPoints

Number of time point in concRange between 0 and the maximal concentration. 100 by default.

ncores

Number of cores for parallelization

...

Further arguments to be passed to generic methods

Examples

# \donttest{
data(fitBetacyfluthrin_Chronic)
out <- LCx(fitBetacyfluthrin_Chronic,ncores=2)
# }