Stamp

<p>A vector containing the 1872 Hidalgo stamp data</p>

datasets

Performs maximum likelihood estimation for finite mixture models for families including Normal, Weibull, Gamma and Lognormal by using EM algorithm, together with Newton-Raphson algorithm or bisection method when necessary. It also conducts mixture model selection by using information criteria or bootstrap likelihood ratio test. The data used for mixture model fitting can be raw data or binned data. The model fitting process is accelerated by using R package 'Rcpp'.

Youjiao Yu

mixR

Finite Mixture Modeling for Raw and Binned Data

Stamp function

<p>A vector with 485 measurements of the thickness (nm) of the stamps</p>

Stamp: 1872 Hidalgo Stamp Data

Description

Usage

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References