BART (version 2.9.9)

rtnorm: 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)

Value

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

Arguments

n

Number of samples.

mean

Mean.

sd

Standard deviation.

tau

Truncation point.

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)