EM Algorithm for Interval-Censored Data

Contains methods described by Dennis Helsel in
his book "Statistics for Censored Environmental Data
using Minitab and R" (2011) and courses and videos at
<https://practicalstats.com>. This package incorporates functions
of NADA and adds new functionality.

Paul Julian

NADA2

Data Analysis for Censored Environmental Data

Dennis Helsel

Lopaka Lee

EM function

<dl><dt>A</dt>
<dd>Either a logical matrix or an interval matrix (n x 2).</dd>
<dt>pvec</dt>
<dd>Optional initial probability vector.</dd>
<dt>maxiter</dt>
<dd>Maximum number of EM iterations (default 500).</dd>
<dt>tol</dt>
<dd>Convergence tolerance (default 1e-12).</dd></dl>

Arguments

EM Algorithm for Interval-Censored Data — EM

<dl>

<dt>A</dt>
<dd>Either a logical matrix or an interval matrix (n x 2).</dd>


<dt>pvec</dt>
<dd>Optional initial probability vector.</dd>


<dt>maxiter</dt>
<dd>Maximum number of EM iterations (default 500).</dd>


<dt>tol</dt>
<dd>Convergence tolerance (default 1e-12).</dd>

</dl>

EM: EM Algorithm for Interval-Censored Data

Description

Usage

Value

Arguments