sim.negbin: Simulates data from a mixture of Negative Binomial...
In marl: Multivariate Analysis Based on Relative Likelihoods
Description
Usage
Arguments
Details
Author(s)
References
Examples
Description
This function simulates data from a mixture of Negative Binomial distribution. The parameterization mu and size is used.
Usage
1
sim.negbin(mu, size, n.obs, n.val)
Arguments
mu
a vector of Nagative Binomial means used for simulating data
size
Size or overdispersion parameter. It is a fixed positive number.
n.obs
Number of observations to simulate.
n.val
Length of each observation.
Details
If necessary readers are referred to rnbinom function in R.
Author(s)
Milan Bimali.
References
rnbinom.
Examples
1
dat.sim <- sim.negbin(c(3,7),2,5,15)
marl documentation built on May 1, 2019, 9:17 p.m.
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Description Usage Arguments Details Author(s) References Examples
Description
This function simulates data from a mixture of Negative Binomial distribution. The parameterization mu and size is used.
Usage
1 | sim.negbin(mu, size, n.obs, n.val)
|
Arguments
mu |
a vector of Nagative Binomial means used for simulating data |
size |
Size or overdispersion parameter. It is a fixed positive number. |
n.obs |
Number of observations to simulate. |
n.val |
Length of each observation. |
Details
If necessary readers are referred to rnbinom function in R.
Author(s)
Milan Bimali.
References
rnbinom.
Examples
1 | dat.sim <- sim.negbin(c(3,7),2,5,15)
|
R Package Documentation
Browse R Packages
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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