quantile_conflation {tbea} | R Documentation |
quantile_conflation: Calculate the quantile for a given probabiliy under a conflated distribution
Description
quantile_conflation: Calculate the quantile for a given probabiliy under a conflated distribution
Usage
quantile_conflation(p, data, output = c("quantile", "optim"))
Arguments
p |
A float with the desired probability for which the quantile is to be calculated. |
data |
A data frame which results from calling 'conflate'. |
output |
One of two values, either "quantile" or "optim". The former returns only the optimised quantile value, whereas the latter returns the complete output from 'optim'. Useful for checking whether optimisation converged. |
Value
Either a vector of length one withe the quantile value, or a list as returned by optim.
Examples
conflated = density(rnorm(1000000, 0, 1))[c("x", "y")]
quantile_conflation(0.5, conflated, output = "quantile")
quantile_conflation(0.5, conflated, output = "opt")
quantile_conflation(0.025, conflated, "quan")
quantile_conflation(0.975, conflated, "q")
[Package tbea version 1.6.1 Index]