Initial_treatment_CONT: function that samples initial values for the treatment model...

In LoTTA: Bayesian Inference in Regression Discontinuity Designs

function that samples initial values for the treatment model with a continuous prior

Description

function that samples initial values for the treatment model with a continuous prior

Usage

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

Arguments

x	score data
t	treatment 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 .RNG.seed value

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