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lmom (version 3.2)

cdfgam: Gamma distribution

Description

Distribution function and quantile function of the gamma distribution.

Usage

cdfgam(x, para = c(1, 1))
quagam(f, para = c(1, 1))

Value

cdfgam gives the distribution function;

quagam gives the quantile function.

Arguments

x

Vector of quantiles.

f

Vector of probabilities.

para

Numeric vector containing the parameters of the distribution, in the order \(\alpha, \beta\) (shape, scale).

Details

The gamma distribution with shape parameter \(\alpha\) and scale parameter \(\beta\) has probability density function $$f(x)={x^{\alpha-1} \exp(-x/\beta) \over \beta^\alpha \Gamma(\alpha)}$$ for \(x\ge0\), where \(\Gamma(.)\) is the gamma function.

See Also

gamma for the gamma function.

pgamma for the standard R version of the gamma distribution.

cdfpe3 for the Pearson type III distribution, which generalizes the gamma distribution.

Examples

Run this code
# Random sample from the gamma distribution
# with shape parameter 4 and mean 1.
quagam(runif(100), c(4,1/4))

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