Initial_CONT_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 ontinuous prior and continuous outcomes

Description

function that samples initial values for fuzzy LoTTA model with a ontinuous prior and continuous outcomes

Usage

Initial_CONT_CONT(x, t, y, C_start, clb, cub, lb, ubr, ubl, s, jlb = 0.2)

Arguments

x	score data
t	treatment data
y	outcome data
C_start	posterior samples of cutoff location obtained through "cutoff_initial_CONT.txt"
clb	left end of an interval on which the prior is supported
cub	right end of an interval on which the prior is supported
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
jlb	minimum jump size

Value

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

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