mlbetapr {univariateML} | R Documentation |
Beta prime distribution maximum likelihood estimation
Description
This function does not estimate the scale parameter for the BetaPrime
distribution. Transforms the data and uses stat::nlm
to estimate
the parameters of the Beta distribution.
Usage
mlbetapr(x, na.rm = FALSE, ...)
Arguments
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
passed to |
Details
For the density function of the Beta prime distribution see BetaPrime.
For type
, the option none
is fastest.
Value
mlbetapr
returns an object of class univariateML
.
This is a named numeric vector with maximum likelihood estimates for
shape1
and shape2
and the following attributes:
model |
The name of the model. |
density |
The density associated with the estimates. |
logLik |
The loglikelihood at the maximum. |
support |
The support of the density. |
n |
The number of observations. |
call |
The call as captured my |
References
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Chapter 25. Wiley, New York.
See Also
BetaPrime for the Beta prime density, nlm for the optimizer this function uses, mlbeta for the Beta distribution maximum likelihood estimator.
Examples
AIC(mlbetapr(USArrests$Rape))