gpoisson: The generalised Poisson distribution
In inbo/inlatools: Diagnostic Tools for INLA Models
dgpoisson R Documentation
The generalised Poisson distribution
Description
The generalised Poisson distribution
Usage
dgpoisson(y, mu, phi)
rgpoisson(n, mu, phi)
Arguments
y
a vector of positive integers for which to calculate the density
mu
a vector of averages for which to calculate the density
phi
a single overdispersion parameter
n
the number of simulated values
Value
a matrix with the density for each combination of y (rows) and mu
(cols)
See Also
Other statistics:
dispersion(),
fitted,inla-method,
get_observed(),
residuals,inla-method
Other statistics:
dispersion(),
fitted,inla-method,
get_observed(),
residuals,inla-method
inbo/inlatools documentation built on Oct. 10, 2024, 8:11 a.m.
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| dgpoisson | R Documentation |
The generalised Poisson distribution
Description
The generalised Poisson distribution
Usage
dgpoisson(y, mu, phi)
rgpoisson(n, mu, phi)
Arguments
y |
a vector of positive integers for which to calculate the density |
mu |
a vector of averages for which to calculate the density |
phi |
a single overdispersion parameter |
n |
the number of simulated values |
Value
a matrix with the density for each combination of y (rows) and mu
(cols)
See Also
Other statistics:
dispersion(),
fitted,inla-method,
get_observed(),
residuals,inla-method
Other statistics:
dispersion(),
fitted,inla-method,
get_observed(),
residuals,inla-method
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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