Initial_SHARP_CONT: function that samples initial values for sharp LoTTA model...

In LoTTA: Bayesian Inference in Regression Discontinuity Designs

function that samples initial values for sharp LoTTA model with continuous outcomes

Description

function that samples initial values for sharp LoTTA model with continuous outcomes

Usage

Initial_SHARP_CONT(x, y, c, lb, ubr, ubl, s)

Arguments

x	score data
y	outcome data
c	cutoff location
lb	minimum window size
ubr	maximum value of the window's right boundary point
ubl	minimum value of the window's left boundary point
s	seed

Value

list with initial parameters values for sharp LoTTA model with continuous outcomes, and .RNG.seed value

LoTTA documentation built on Aug. 8, 2025, 6:27 p.m.