gamma_dist_def {EpiNow2}

Generate a Gamma Distribution Definition Based on Parameter Estimates

Description

Deprecated; use Gamma() instead to define a gamma distribution.

Usage

gamma_dist_def(
  shape,
  shape_sd,
  scale,
  scale_sd,
  mean,
  mean_sd,
  sd,
  sd_sd,
  max_value,
  samples
)

Arguments

shape

Numeric, shape parameter of the gamma distribution.

shape_sd

Numeric, standard deviation of the shape parameter.

scale

Numeric, scale parameter of the gamma distribution.

scale_sd

Numeric, standard deviation of the scale parameter.

mean

Numeric, log mean parameter of the gamma distribution.

mean_sd

Numeric, standard deviation of the log mean parameter.

sd

Numeric, log sd parameter of the gamma distribution.

sd_sd

Numeric, standard deviation of the log sd parameter.

max_value

Numeric, the maximum value to allow. Defaults to 120. Samples outside of this range are resampled.

samples

Numeric, number of sample distributions to generate.

Value

A ⁠<data.table>⁠ defining the distribution as used by dist_skel()

Examples

# using estimated shape and scale
def <- gamma_dist_def(
  shape = 5.807, shape_sd = 0.2,
  scale = 0.9, scale_sd = 0.05,
  max_value = 20, samples = 10
)
print(def)
def$params[[1]]

# using mean and sd
def <- gamma_dist_def(
  mean = 3, mean_sd = 0.5,
  sd = 3, sd_sd = 0.1,
  max_value = 20, samples = 10
)
print(def)
def$params[[1]]