mlnorm: Density Function for Discrete Log Normal Distribution

In hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference

Description

Density function of the discrete log normal distribution whose logarithm has mean equal to meanlog and standard deviation equal to sdlog.

Usage

mlnorm(x, meanlog = 0, sdlog = 1, log = T)

Arguments

x	vector of quantiles.
meanlog	mean of the distribution on the log scale.
sdlog	standard deviation of the distribution on the log scale.
log	logical; if TRUE, probabilities p are given as log(p).

Value

Discrete log-normal distributional density.

Author(s)

Taylor Trippe <[e-mail]>
Earvin Balderama <[e-mail]>

hurdlr documentation built on May 2, 2019, 3:19 p.m.