tcensReg: MLE of a Truncated Normal Distribution with Censored Data

Maximum likelihood estimation (MLE) of parameters assuming an underlying left truncated normal distribution with left censoring described in Williams, J, Kim, H, and Crespi, C. (2019) <arXiv:1911.11221>. Censoring is assumed to occur above the truncation threshold meaning that only censored observations are observed. Additional maximum likelihood estimation procedures are implemented to solve left censored only and left truncated only problems.

Version: 0.1.6
Depends: R (≥ 3.3)
Imports: stats, maxLik, Rdpack
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0), ggplot2, viridis, future.apply, tictoc, censReg, truncreg, microbenchmark
Published: 2020-03-27
Author: Justin Williams [aut, cre]
Maintainer: Justin Williams <williazo at ucla.edu>
BugReports: https://github.com/williazo/tcensReg/issues
License: MIT + file LICENSE
URL: https://github.com/williazo/tcensReg
NeedsCompilation: no
Citation: tcensReg citation info
Materials: NEWS
CRAN checks: tcensReg results

Downloads:

Reference manual: tcensReg.pdf
Vignettes: tcensReg
Package source: tcensReg_0.1.6.tar.gz
Windows binaries: r-devel: tcensReg_0.1.6.zip, r-release: tcensReg_0.1.6.zip, r-oldrel: tcensReg_0.1.6.zip
macOS binaries: r-release: tcensReg_0.1.6.tgz, r-oldrel: tcensReg_0.1.6.tgz
Old sources: tcensReg archive

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