mlnorm {univariateML} | R Documentation |
The maximum likelihood estimate of mean
is the empirical mean and the
maximum likelihood estimate of sd
is the square root of the
biased sample variance.
mlnorm(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 normal distribution see Normal.
mlnorm
returns an object of class univariateML
.
This is a named numeric vector with maximum likelihood estimates for
mean
and sd
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 1, Chapter 13. Wiley, New York.
Normal for the normal density.
mlnorm(precip)