Get PMF of a discretized lognormal distribution — get_discrete

This function accepts both log-scale and unit-scale parameters to specify a discretized lognormal distribution.

Usage

get_discrete_lognormal(
  meanlog,
  sdlog,
  unit_mean = NULL,
  unit_sd = NULL,
  unit_cv = NULL,
  maxX = NULL,
  include_zero = TRUE,
  print_params = FALSE
)

Arguments

meanlog: Log scale mean (location of lognormal).
sdlog: Log scale standard deviation (scale of lognormal).
unit_mean: Alternative parameterization: unit/natural scale mean.
unit_sd: Alternative parameterization: unit/natural scale sd.
unit_cv: Alternative parameterization: unit/natural scale coefficient of variation.
maxX: Right truncation point. All probability mass beyond maxX will be assigned to maxX. If NULL (default), this is automatically chosen such that the last bin has less than 0.5% of the probability mass.
include_zero: Should the distribution explicitly cover X=0, or should X=1 include the probability mass for X=0 too?
print_params: Should the log-level parameters be printed?

Value

A numeric vector representing the PMF of the discretized lognormal.