fitLogNormal: Fitting log-normal distributions

In bda: Binned Data Analysis

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

bda documentation built on Sept. 11, 2024, 9:01 p.m.