Developed for the following tasks. 1) Computing the Fisher information matrix under progressive type I interval censoring scheme, 2) Computing the bias corrected maximum likelihood estimator under progressive type I interval censoring based on the method of Cox and Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> , 3) Computing the goodness of fit statistics including Anderson Darling and Cramer-von Mises , and 4) Simulating the progressive type I interval censoring scheme.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | pracma |
| Published: | 2020-10-26 |
| Author: | Mahdi Teimouri |
| Maintainer: | Mahdi Teimouri <teimouri at aut.ac.ir> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | bccp results |
| Reference manual: | bccp.pdf |
| Package source: | bccp_0.1.0.tar.gz |
| Windows binaries: | r-devel: bccp_0.1.0.zip, r-release: bccp_0.1.0.zip, r-oldrel: bccp_0.1.0.zip |
| macOS binaries: | r-release: bccp_0.1.0.tgz, r-oldrel: bccp_0.1.0.tgz |
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