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]