Description Usage Arguments Value References See Also Examples
Functions implementing the Bernoulli-gamma distribution, in which zero values
occur with probability 1-prob
and non-zero values follow a gamma
distribution with scale
and shape
parameters.
dbgamma
gives a probability density function (pdf),
pbgamma
gives the cumulative distribution
function (cdf), qbgamma
gives the quantile function (inverse cdf),
and rbgamma
is used for generating random variates.
1 2 3 4 |
x, q |
vector of quantiles. |
p |
vector of cumulative probabilities. |
n |
number of random samples. |
prob |
probability of a non-zero value. |
scale |
scale parameter of the gamma distribution. |
shape |
shape parameter of the gamma distribution. |
dbgamma
gives the pdf, pbgamma
gives the cdf,
qbgamma
gives the inverse cdf (or quantile function), and
rbgamma
generates random deviates.
Cannon, A.J., 2008. Probabilistic multi-site precipitation downscaling by an expanded Bernoulli-gamma density network. Journal of Hydrometeorology, 9(6): 1284-1300.
dgamma
, bweibull
, bpareto2
,
blnorm
1 |
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