double.truncation: Analysis of Doubly-Truncated Data

Likelihood-based inference methods with doubly-truncated data are developed under various models. Nonparametric models are based on Efron and Petrosian (1999) <doi:10.1080/01621459.1999.10474187> and Emura, Konno, and Michimae (2015) <doi:10.1007/s10985-014-9297-5>. Parametric models from the special exponential family (SEF) are based on Hu and Emura (2015) <doi:10.1007/s00180-015-0564-z> and Emura, Hu and Konno (2017) <doi:10.1007/s00362-015-0730-y>. The parametric location-scale models are based on Dorre et al. (2020) <doi:10.1007/s00180-020-01027-6>.

Version: 1.7
Published: 2020-09-08
Author: Takeshi Emura, Ya-Hsuan Hu, Chung-Yan Huang
Maintainer: Takeshi Emura <takeshiemura at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: double.truncation results

Documentation:

Reference manual: double.truncation.pdf

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Package source: double.truncation_1.7.tar.gz
Windows binaries: r-devel: double.truncation_1.7.zip, r-release: double.truncation_1.7.zip, r-oldrel: double.truncation_1.7.zip
macOS binaries: r-release (arm64): double.truncation_1.7.tgz, r-oldrel (arm64): double.truncation_1.7.tgz, r-release (x86_64): double.truncation_1.7.tgz
Old sources: double.truncation archive

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