simLiland: Simulations for the Liland distribution.
In khliland/fixedTimeEvents: The Distribution of Distances Between Discrete Events in Fixed Time
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
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
1
2
3
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 5 (2016).
See Also
Examples
1
2
3
4
simLiland(1000,20,10)
sl <- simLiland2(1000,20,10)
sl$counts[sl$ms]/1000
plot(density(simLilandMu(1000,20,10)))
khliland/fixedTimeEvents documentation built on Dec. 28, 2021, 12:02 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
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
1 2 3 | 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 5 (2016).
See Also
Examples
1 2 3 4 | simLiland(1000,20,10)
sl <- simLiland2(1000,20,10)
sl$counts[sl$ms]/1000
plot(density(simLilandMu(1000,20,10)))
|
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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