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) . 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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("tcensReg")

0.1.6 by Justin Williams, 4 days ago


https://github.com/williazo/tcensReg


Report a bug at https://github.com/williazo/tcensReg/issues


Browse source code at https://github.com/cran/tcensReg


Authors: Justin Williams [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, maxLik, Rdpack

Suggests knitr, rmarkdown, testthat, ggplot2, viridis, future.apply, tictoc, censReg, truncreg, microbenchmark


See at CRAN