GammaDist: The Gamma distribution

In multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

The Gamma distribution

Description

We provide convenient extensions of the ⁠[dpq]gamma⁠ functions, which allow the distribution to be specified in terms of its mean and standard deviation, instead of shape and rate/scale.

Usage

qgamma(
  p,
  shape,
  rate = 1,
  scale = 1/rate,
  lower.tail = TRUE,
  log.p = FALSE,
  mean,
  sd
)

dgamma(x, shape, rate = 1, scale = 1/rate, log = FALSE, mean, sd)

pgamma(
  q,
  shape,
  rate = 1,
  scale = 1/rate,
  lower.tail = TRUE,
  log.p = FALSE,
  mean,
  sd
)

Arguments

p	vector of probabilities
shape, rate, scale, log, lower.tail, log.p	see stats::GammaDist
mean, sd	mean and standard deviation, overriding shape and rate or scale if specified
x, q	vector of quantiles

Value

Numeric vector of length equal to the maximum of the lengths of the input arguments.

multinma documentation built on April 4, 2025, 3:46 a.m.