Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Carla Moreira, Jacobo de Uña-Álvarez, Rosa M. Crujeiras
Title: DTDA: An R Package to Analyze Randomly Truncated Data
Abstract: In this paper, the R package DTDA for analyzing truncated data is described. This package contains tools for performing three different but related algorithms to compute the nonparametric maximum likelihood estimator of the survival function in the presence of random truncation. More precisely, the package implements the algorithms proposed by Efron and Petrosian (1999) and Shen (2008), for analyzing randomly one-sided and two-sided (i.e., doubly) truncated data. These algorithms and some recent extensions are briefly reviewed. Two real data sets are used to show how DTDA package works in practice.

Page views:: 4953. Submitted: 2009-12-11. Published: 2010-11-17.
Paper: DTDA: An R Package to Analyze Randomly Truncated Data     Download PDF (Downloads: 5070)
DTDA_2.1-1.tar.gz: R source package Download (Downloads: 692; 20KB)
v37i07.R: R example code from the paper Download (Downloads: 760; 12KB)

DOI: 10.18637/jss.v037.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.