logitRng: Calculate logit link and sample from binomial distribution

In imt: Impact Measurement Toolkit

Calculate logit link and sample from binomial distribution

Description

This function takes prior / posterior draws of the Bayesian logit model, applies theinverse logit (logistic) transformation to obtain probabilities, and then generates random samples from binomial distributions.

Usage

logitRng(alpha, tau, beta, treat, X, N)

Arguments

alpha	Numeric. A draw of alpha param from the logit model
tau	Numeric. A draw of tau param from the logit model
beta	Vector. A draw of beta params from the logit model
treat	A 0 / 1 vector of treatment indicator
X	Data to be predicted
N	Numeric. Size of the sample, should depend on size of the data.

Value

A vector of N samples of preditive draws

imt documentation built on Sept. 11, 2024, 5:41 p.m.