fs_equate {FuzzyPovertyR}

Fuzzy supplementary poverty estimation

Description

Step 6. This function solves $E(mu)^(alpha-1) = HCR$ for alpha.

Usage

fs_equate(steps4_5, weight, HCR, interval = c(1, 10), verbose = TRUE)

Arguments

steps4_5

The results obtained from fs_weight.

weight

A numeric vector of sampling weights. if NULL simple random sampling weights will be used

HCR

The head count ratio.

interval

The range to look for the value of alpha.

verbose

Logical. whether to print the proceeding of the procedure.

Value

The alpha parameter that solves the non-linear equation $E(mu) = HCR$

Examples

data(eusilc)
step2 = fs_transform(eusilc[,4:23], weight = eusilc$DB090, ID = eusilc$ID)
dimensions = c(1,1,1,1,2,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5)
steps4_5 = fs_weight(dimensions, step2 = step2, rho = NULL)
alpha <- fs_equate(steps4_5 = steps4_5, weight = eusilc$DB090, HCR = .16, interval = c(1,10))