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. (2020) . 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.


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0.1.7 by Justin Williams, a year ago

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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