rsemicts: Generates a random sample from a semi-continuous...
In psaiku/semicts: Some useful methods for Semi-continuous Data (aka mixed data)

Description Usage Arguments Value Examples

Generates a random sample from a semi-continuous distribution. Tested for truncated normal (truncnorm), log-normal (lnorm), and gamma distributions are supported for the continuous part of the distribution.

1 2	rsemicts(n, pzero = 0.5, r.func = NA, cts.density = "truncnorm", cts.param = list(a = 0, b = Inf, mean = 0, sd = 1))

`n`	Number of random variables to generate
`pzero`	Point mass at 0
`cts.density`	Name of a continuous density with support on the positive real line. Supported values: truncnorm (default), lnorm, and gamma
`cts.param`	A list containing the parameters for cts.density (default: list(a=0, b=Inf, mean = 0, sd=1) for mean, standard deviation of truncated normal). For log-normal, it should be an array containing meanlog, and sdlog of the distribution. For gamma, an array of shape, and rate values must be supplied.

An array of semi-continuous random variables.

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rsemicts(100, pzero=0.4, cts.density="lnorm", cts.param=list(meanlog=0, sdlog=1))
rsemicts(1000, pzero=0.6, cts.density="gamma", cts.param = list(shape=1, rate=1))
rsemicts(100, pzero=0.6, cts.density="truncnorm", cts.param = list(a=0, b=Inf, mean = 0, sd=1))