DTDA: An R Package to Analyze Randomly Truncated Data
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Foundation for Open Access Statistics
Metrics
Export
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
Description
Bibliographic citation
Moreira, C., de Uña-Álvarez, J., & Crujeiras, R. (2010). DTDA: An R Package to Analyze Randomly Truncated Data. Journal of Statistical Software, 37(7), 1 - 20. doi:http://dx.doi.org/10.18637/jss.v037.i07
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.18637/jss.v037.i07Sponsors
Work supported from Spanish Ministerio de Ciencia e Innovación by the research Grants MTM2008-03129 and MTM2008-03010, by the Xunta de Galicia Grant PGIDIT07PXIB300191PR and SFRH/BD/60262/2009
Grant of Portuguese Fundação Ciência e Tecnologia. The authors are also grateful to the Xunta de Galicia for financial support under the INBIOMED project, (DXPCTSUG, Ref. 2009/063)
Rights
This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License