mixOnekn {MixSemiRob} | R Documentation |
Two-component Normal Mixture Estimation with One Known Component
Description
‘mixOnekn’ is used for the estimation of the following two-component mixture model:
where is the parameter to estimate,
is an unknown density function that is symmetric at zero.
The parameters are estimated by assuming
is the normal density and the
first component has a mean of 0.
This function can be used to obtain initial values for the
mixMPHD
function.
Usage
mixOnekn(x, sigma.known = NULL)
Arguments
x |
a vector of observations. |
sigma.known |
standard deviation of the first component (if known). Default is NULL,
which calculates the component standard deviations using the given observations |
Value
A list containing the following elements:
mu |
estimated 2 component means, where the first mean is 0. |
sigma |
estimated 2 component standard deviations. |
pi |
estimated 2 mixing proportions. |
lik |
final likelihood. |
See Also
Examples
# see examples for the `mixMPHD' function.
[Package MixSemiRob version 1.1.0 Index]