Package: double.truncation 1.8

Takeshi Emura

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. (2021) <doi:10.1007/s00180-020-01027-6>.

Authors:Takeshi Emura [aut, cre], Ya-Hsuan Hu [aut], Chung-Yan Huang [aut]

double.truncation_1.8.tar.gz
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double.truncation.pdf |double.truncation.html
double.truncation/json (API)

# Install 'double.truncation' in R:
install.packages('double.truncation', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 258 downloads 13 exports 1 dependencies

Last updated 20 days agofrom:b9fe18e229. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linuxOKDec 05 2024

Exports:GoFNPMLEPMLE.loglogisticPMLE.lognormalPMLE.SEF1.freePMLE.SEF1.negativePMLE.SEF1.positivePMLE.SEF2.negativePMLE.SEF3.freePMLE.SEF3.negativePMLE.SEF3.positivePMLE.Weibullsimu.Weibull

Dependencies:MASS