rtnorm: Testing truncated Normal sampling

View source: R/rtnorm.R

rtnormR Documentation

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 June 22, 2024, 11:33 a.m.