log_lomax {bayesCureRateModel} | R Documentation |
PDF and CDF of the Lomax distribution
Description
The Lomax distribution as evaluated at the VGAM package.
Usage
log_lomax(y, a1, a2, c_under = 1e-09)
Arguments
y |
observed data |
a1 |
scale parameter |
a2 |
shape parameter |
c_under |
A small positive value corresponding to the underflow threshold, e.g. c_under = 1e-9. |
Details
The Lomax distribution is a special case of the 4-parameter generalized beta II distribution.
Value
A list containing the following entries
log_f |
natural logarithm of the pdf, evaluated at each datapoint. |
log_F |
natural logarithm of the CDF, evaluated at each datapoint. |
Author(s)
Panagiotis Papastamoulis
References
Thomas W. Yee (2015). Vector Generalized Linear and Additive Models: With an Implementation in R. New York, USA: Springer.
See Also
Examples
log_lomax(y = 1:10, a1 = 1, a2 = 1, c_under = 1e-9)
[Package bayesCureRateModel version 1.1 Index]