fit.lognormal {bda} | R Documentation |
Fitting log-normal distributions
Description
To fit log-normal distributions to raw data.
Usage
fit.lognormal(x, k=1,normal=FALSE)
Arguments
x |
Raw data or grouped data |
k |
number of components, Default: 1 |
normal |
Fit normal mixture models if 'normal=TRUE'; otherwise fit log-normal mixture models. |
Value
p0 |
The estimated proportion of zeros. |
p , mean , sigma |
The fitted parameters of mixing coefficients, means and standard deviations of the k normal components. |
n |
The sample size of data. |
npar |
Number of parameters to be estimated. |
llk |
Estimated log-likelihood. |
Examples
mu = -.5
s = 2
[Package bda version 18.2.2 Index]