| predict.LD50 {HelpersMG} | R Documentation | 
Estimate survival according to doses
Description
Estimate survival according to doses.
The returned data.frame has the following components:
doses, SE, survival, CI.minus.sexratio, CI.plus.sexratio, range.CI
Usage
## S3 method for class 'LD50'
predict(
  object,
  doses = NULL,
  SE = NULL,
  range.CI = 0.95,
  replicates = 1000,
  progressbar = FALSE,
  ...
)
Arguments
object | 
 A result file generated by LD50  | 
doses | 
 A vector of temperatures  | 
SE | 
 The standard error for doses, optional  | 
range.CI | 
 The range of confidence interval for estimation, default=0.95  | 
replicates | 
 Number of replicates to estimate CI  | 
progressbar | 
 Logical. Does a progression bar must be shown  | 
... | 
 Not used  | 
Details
predict.LD50 Estimate survival according to doses
Value
A data.frame with informations about survival
Author(s)
Marc Girondot marc.girondot@gmail.com
See Also
Other LD50 functions: 
LD50(),
LD50_MHmcmc(),
LD50_MHmcmc_p(),
logLik.LD50(),
plot.LD50()
Examples
## Not run: 
#' data <- data.frame(Doses=c(80, 120, 150, 150, 180, 200),
Alive=c(10, 12, 8, 6, 2, 1),
Dead=c(0, 1, 5, 6, 9, 15))
LD50_logistic <- LD50(data, equation="logistic")
predict(LD50_logistic, doses=c(140, 170))
plot(LD50_logistic
## End(Not run)
[Package HelpersMG version 6.1 Index]