Initial_DIS_CONT: function that samples initial values for fuzzy LoTTA model...

In LoTTA: Bayesian Inference in Regression Discontinuity Designs

function that samples initial values for fuzzy LoTTA model with a discrete prior and binary outcomes

Description

function that samples initial values for fuzzy LoTTA model with a discrete prior and binary outcomes

Usage

Initial_DIS_CONT(x, t, y, Ct_start, cstart, grid, lb, ubr, ubl, s, jlb = 0.2)

Arguments

x	score data
t	treatment data
y	outcome data
Ct_start	posterior samples of cutoff location (categorized by natural numbers) obtained through "cutoff_initial_dis.txt"c
cstart	the first point with a positive prior mass
grid	distance between two consecutive points with nonzero prior mass
lb	minimum window size (grid size in case of discrete score)
ubr	maximum value of the window's right boundary point
ubl	minimum value of the window's left boundary point
s	seed
jlb	minimum jump size

Value

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

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