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. (2020) <doi:10.1186/s12874-020-01032-9>. 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: |
0.1.7 |
Depends: |
R (≥ 3.3) |
Imports: |
stats, maxLik, Rdpack |
Suggests: |
knitr, rmarkdown, testthat (≥ 2.1.0), ggplot2, viridis, future.apply, tictoc, censReg, truncreg, microbenchmark |
Published: |
2020-07-01 |
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 |
Documentation:
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