premium: Risk Premium computation
In ceRtainty: Certainty Equivalent

Description Usage Arguments Details Value Examples

Risk Premium computation

1	premium(tbase, ce_data, rac, utility)

`tbase`	Name of the base treatment/project
`ce_data`	`data.frame` with CE values previously computed
`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

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.

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.

## 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