rtnorm: Testing truncated Normal sampling

In BART: Bayesian Additive Regression Trees

Testing truncated Normal sampling

Description

Truncated Normal latents are necessary to transform a binary BART into a continuous BART.

Usage

rtnorm(n, mean, sd, tau)

Arguments

n	Number of samples.
mean	Mean.
sd	Standard deviation.
tau	Truncation point.

Value

Returns n truncated Normals, i.e., N(mean, sd)I(tau, infinity).

References

Robert C. (1995) Simulation of truncated normal variables. Statistics and computing, 5(2), 121–125.

See Also

pbart, lbart

Examples

set.seed(12)

rtnorm(1, 0, 1, 3)
rtnorm(1, 0, 1, 3)

BART documentation built on March 31, 2023, 5:17 p.m.