mlnorm: Density Function for Discrete Log Normal Distribution
In ebalderama/hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Description
Density function of the discrete log normal distribution
whose logarithm has mean equal to meanlog and standard deviation
equal to sdlog.
Usage
1
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 <ttrippe@luc.edu>
Earvin Balderama <ebalderama@luc.edu>
ebalderama/hurdlr documentation built on June 5, 2020, 12:32 a.m.
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Description Usage Arguments Value Author(s)
Description
Density function of the discrete log normal distribution
whose logarithm has mean equal to meanlog and standard deviation
equal to sdlog.
Usage
1 |
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 |
Value
Discrete log-normal distributional density.
Author(s)
Taylor Trippe <ttrippe@luc.edu>
Earvin Balderama <ebalderama@luc.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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