Simulate random samples from truncated normal distribution

Simulate random draws from a truncated normal distribution based using inverse cumulative distribution function for normal distribution.

Usage

rtrunc_norm(n, a = -Inf, b = Inf, mean, sd)

Arguments

n: Number of random samples
a: Lower bound(s)
b: Upper bound(s)
mean: Mean(s)
sd: Standard deviation(s)

Details

This approach is an approximation based on the normal distribution for case application to tested uses in the `anadrofish` package. It should not be considered a generalized solution. This function is used to replace the rtruncnorm function from the truncnorm package to eliminate need for compilation in the anadrofish package and eliminate dependency on truncnorm (which requires compilation).

References

Answers by Glen_b and JohannesNE to this post on Cross Validated: https://stats.stackexchange.com/questions/56747/simulate-constrained-normal-on-lower-or-upper-bound-in-r were helpful.

Examples

rtrunc_norm(n = 1, a = 0, b = Inf, mean = 6.1, sd = 0.5)
#> [1] 5.073798