Analysis of Doubly-Truncated Data R package double.truncation version 1.8 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. (2021) <doi:10.1007/s00180-020-01027-6>. Software Depends: MASS Takeshi Emura <takeshiemura@gmail.com> Comprehensive R Archive Network (CRAN) Takeshi Emura [aut, cre], Ya-Hsuan Hu [aut], Chung-Yan Huang [aut] GPL-2 2024-12-05 application/tgz https://CRAN.R-project.org/package=double.truncation doi:10.32614/CRAN.package.double.truncation