f.ced.pct: Calculate CI based on bootstrap estimates and confidence...

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Calculate CI based on bootstrap estimates and confidence level

Usage

f.ced.pct(CED, CED.boot, nruns.intend, sf.x = NA, conf.lev = 0.9,
  track = FALSE)

Arguments

CED	numeric, the estimated value for CED
CED.boot	numeric vector, the estimated CED values following bootstrap
nruns.intend	integer, the intended number of bootstrap runs
sf.x	numeric, scaling factor for x; default value is NA
conf.lev	numeric, the confidence level for confidence intervals; default value is 0.9
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

list, the confidence interval values and the confidence level as provided in conf.lev

alfcrisci/bmdModeling documentation built on May 28, 2019, 12:32 a.m.