PvfPoisson {rmutil} | R Documentation |
Power Variance Function Poisson Distribution
Description
These functions provide information about the overdispersed power
variance function Poisson distribution with parameters m
,
s
, and f
: density, cumulative distribution, quantiles,
and random generation. This function is obtained from a Poisson
distribution as a mixture with a power variance distribution. In the
limit, for f=0
, the mixing distribution is gamma so that it is
a negative binomial distribution. For f=0.5
, the mixing
distribution is inverse Gaussian. For f<0
, the mixing
distribution is a compound distribution of the sum of a Poisson number
of gamma distributions. For f=1
, it is undefined.
The power variance function Poisson distribution with m
=
\mu
, the mean, s
= \theta
, and f
= \alpha
has density
p(y) =
{\exp(-\mu((\theta+1)^\alpha/\theta^\alpha-\theta)/\alpha)\over y!}
\sum_{i=1}^y c_{yi}(\alpha)\mu^i(\theta+1)^{i\alpha-y}/\theta^{i(\alpha-1)}
for y = 0, \ldots
, where c_{yi}(f)
are coefficients
obtained by recursion.
Usage
dpvfpois(y, m, s, f, log=FALSE)
ppvfpois(q, m, s, f)
qpvfpois(p, m, s, f)
rpvfpois(n, m, s, f)
Arguments
y |
vector of counts |
q |
vector of quantiles |
p |
vector of probabilities |
n |
number of values to generate |
m |
scalar or vector of means |
s |
scalar or vector of overdispersion parameters |
f |
scalar or vector of family parameters, all < 1 |
log |
if TRUE, log probabilities are supplied. |
Author(s)
J.K. Lindsey
See Also
dpois
for the Poisson, ddoublepois
for
the double Poisson, dmultpois
for
the multiplicative Poisson, dconsul
for the Consul
generalized Poisson, dgammacount
for the gamma count, and
dnbinom
for the negative binomial distribution.
Examples
dpvfpois(5,10,0.9,0.5)
ppvfpois(5,10,0.9,0.5)
qpvfpois(0.85,10,0.9,0.5)
rpvfpois(10,10,0.9,0.5)