lss {sglg} | R Documentation |
Measures of location, scale and shape measures for a generalized log-gamma distribution
Description
lss
is used to obtain the mean, median, mode, variance, coefficient of variation, skewness and kurtosis for a generalized log-gamma distribution.
Usage
lss(mu = 0, sigma = 1, lambda = 1)
Arguments
mu |
numeric, represents the location parameter of a generalized log-gamma distribution. Default value is 0. |
sigma |
numeric, represents the scale parameter of a generalized log-gamma distribution. Default value is 1. |
lambda |
numeric, represents the shape parameter of a generalized log-gamma distribution. Default value is 1. |
Author(s)
Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
References
Carlos Alberto Cardozo Delgado, Semi-parametric generalized log-gamma regression models. Ph. D. thesis. Sao Paulo University.
National Institute of Standards and Technology, NIST. Engineering Statistics Handbook. https://www.itl.nist.gov/div898/handbook/eda/section3/eda366g.htm
Examples
lss(0,1,-1) # Extreme value type I distribution, maximum case.
lss(0,1,1) # Extreme value type I distribution, minimum case.
lss(0,1,0.01) # Standard normal distribution.