bda (version 3.1.3-2)

mle: Compute maximum likelihood estimates

Description

To compute maximum likelihood estimates based on (weighted and/or censored) data.

Usage

mle(x,w, type="Weighted", family="Gaussian"	)

Arguments

x

vector of raw data or distinct center information of binned data.

w

vector of weights.

type

Data type. Options include rc = random right-censored, regular data if option missing.

family

distribution family. Options include Normal or Gaussian, Weibull.

Examples

x <- rweibull(1000,1,7)
w <- rep(1,1000)
mle(x,w, type='rc', family='weibull')