QuantileAnalysis {Ricrt}

Quantile Effect Analysis

Description

A function for quantile analysis that provides a p-value and a point estimation.

Usage

QuantileAnalysis(S, C, Z, R, quantile = 0.5, delta_hyp = 0)

Arguments

S

A numeric column vector with individuals' stratum number

C

A numeric column vector with individuals' cluster number

Z

A numeric column vector with individuals' treatment assignment (binary)

R

A numeric column vector with individuals' outcome

quantile

A numeric value for intended quantile in the input data for running the quantile test, the default of this value is 0.5.

delta_hyp

A numeric value that is the hypothesized treatment effect given the quantile. The default of this value is 0.

Value

A list of the outputs

Examples

# First we need to obtain the vectors for the inputs.
S = example1$S
C = example1$C
Z = example1$Z
R = example1$R
QuantileAnalysis(S, C, Z, R)