mllogis {univariateML} | R Documentation |
Calculates the estimates using nlm
with an exponential transform of the
location parameter.
mllogis(x, na.rm = FALSE, ...)
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
currently affects nothing. |
For the density function of the logistic distribution see Logistic.
mllogis
returns an object of class univariateML
.
This is a named numeric vector with maximum likelihood estimates for
location
and scale
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 |
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Chapter 23. Wiley, New York.
Logistic for the Logistic density, nlm for the optimizer this function uses.
mllogis(precip)