Simulations for the Liland distribution.

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Description

Three different simulations are provided for the Liland distribution. These include sampling repeatedly from a given Liland distribution, sampling from the Bernoulli distribution and summarizing, and sampling random mean Liland numbers.

Usage

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simLiland(S, R, r)
simLiland2(S, R, r)
simLilandMu(S, R, r)

Arguments

S

number of samples.

R

number of trials or denominator of Bernoulli probability.

r

number of successes or numerator of Bernoulli probablity.

Value

simLiland returns a vector of simulated Liland probabilities. simLiland2 returns a list of sampled counts (res), summary of counts (counts) and order of counts (ms). simLilandMu returns a vector of simulated mean Liland numbers.

Author(s)

Kristian Hovde Liland

References

Liland, KH & Snipen, L, FixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time, SoftwareX, in press.

See Also

dLiland, Liland, Liland.test

Examples

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simLiland(1000,20,10)
sl <- simLiland2(1000,20,10)
sl$counts[sl$ms]/1000
plot(density(simLilandMu(1000,20,10)))