rzip: Zero-Inflated Poisson Random Number Generation
In calliste-fagard-jenkin/GAI: Generalised Abundance Index for Seasonal Invertibrates
rzip R Documentation
Zero-Inflated Poisson Random Number Generation
Description
Simulates deviates from a zero-inflated poisson model given the model's
parameter values.
Usage
rzip(n, lambda, psi)
Arguments
n
The integer number of deviates to generate
lambda
The vector of means for each observation. Must have the same
length n, or be of length 1 for constant means
psi
The probability of being from the poisson distribution as
opposed to being an 'inflated' 0
Value
A vector of n points from a zero inflated poisson distribution
calliste-fagard-jenkin/GAI documentation built on July 26, 2022, 11:20 a.m.
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| rzip | R Documentation |
Zero-Inflated Poisson Random Number Generation
Description
Simulates deviates from a zero-inflated poisson model given the model's parameter values.
Usage
rzip(n, lambda, psi)
Arguments
n |
The integer number of deviates to generate |
lambda |
The vector of means for each observation. Must have the same length n, or be of length 1 for constant means |
psi |
The probability of being from the poisson distribution as opposed to being an 'inflated' 0 |
Value
A vector of n points from a zero inflated poisson distribution
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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