Gamma Count Distribution
These functions provide information about the gamma count
distribution with parameters m and s: density,
cumulative distribution, quantiles, and random generation.
The gamma count distribution with prob = m has density
p(y) = pgamma(m s, y s, 1)-pgamma(m s, (y+1) s, 1)
for y = 0, …, n where pgamma(m s, 0, 1)=1.
dgammacount(y, m, s, log=FALSE) pgammacount(q, m, s) qgammacount(p, m, s) rgammacount(n, m, s)
y |
vector of frequencies |
q |
vector of quantiles |
p |
vector of probabilities |
n |
number of values to generate |
m |
vector of probabilities |
s |
vector of overdispersion parameters |
log |
if TRUE, log probabilities are supplied. |
J.K. Lindsey
dpois for the Poisson, dconsul for
the Consul generalized Poisson, ddoublepois for
the double Poisson, dmultpois
for the multiplicative Poisson distributions, and dnbinom
for the negative binomial distribution.
dgammacount(5,10,0.9) pgammacount(5,10,0.9) qgammacount(0.08,10,0.9) rgammacount(10,10,0.9)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.