premium {ceRtainty} | R Documentation |
Risk Premium computation
Description
Risk Premium computation
Usage
premium(tbase, ce_data, rac, utility)
Arguments
tbase |
Name of the base treatment/project |
ce_data |
|
rac |
Vector with RAC sequence used in the CE computation |
utility |
The utility function: "ExpNeg" if CE it was computed using Exponential Negative utility function. "Power" if the utility function was Power |
Details
This function computes the risk premium values, regarding a project or treatment arbitrarily chosen by the user, using a CEs dataset (a 'certainty' object) already computed.
Value
Generates three objects: A data.frame with the total
values of the premium risks; a data.frame
with the percentage of
difference with respect the base treatment; and a plot with the
treatments' premium risk.
Examples
## Example using profit dataset
data(profitSWG)
# First, compute the CE values
c1 <- certainty(data = profitSWG,ival = .5,fval = 4,utility = "Power")
ce_values <- c1$CE_values # CE table
ce_rac <- c1$RAC # RAC vector
# The Risk premium values respect to Serenade treatment
rp <- premium(tbase = "serenade", ce_data = ce_values,rac = ce_rac, utility = "Power")
rp$PremiumRisk # absolute values
rp$PremiumRiskPer100 # values in percentage
rp$RP_plot() # plot
[Package ceRtainty version 1.0.0 Index]