Density, distribution function, and random generation for the beta-geometric distribution.
dbetageom(x, shape1, shape2, log = FALSE) pbetageom(q, shape1, shape2, log.p = FALSE) rbetageom(n, shape1, shape2)
vector of quantiles.
number of observations.
the two (positive) shape parameters of the standard
beta distribution. They are called
The beta-geometric distribution is a geometric distribution whose
probability of success is not a constant but it is generated
from a beta distribution with parameters
shape2. Note that the mean of this beta distribution
shape1/(shape1+shape2), which therefore is the mean
of the probability of success.
dbetageom gives the density,
pbetageom gives the distribution function, and
rbetageom generates random deviates.
pbetageom can be particularly slow.
T. W. Yee
## Not run: shape1 <- 1; shape2 <- 2; y <- 0:30 proby <- dbetageom(y, shape1, shape2, log = FALSE) plot(y, proby, type = "h", col = "blue", ylab = "P[Y=y]", main = paste0( "Y ~ Beta-geometric(shape1=", shape1,", shape2=", shape2, ")")) sum(proby) ## End(Not run)
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