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Developed for the following tasks. Simulating, computing maximum likelihood estimator, computing the Fisher information matrix, computing goodness-of-fit measures, and correcting bias of the ML estimator for a wide range of distributions fitted to units placed on progressive type-I interval censoring and progressive type-II censoring plans. The methods of Cox and Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> and bootstrap method for computing the bias-corrected maximum likelihood estimator.
| Version: | 0.5.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | pracma |
| Published: | 2021-05-18 |
| 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_0.5.0.tar.gz |
| Windows binaries: | r-devel: bccp_0.5.0.zip, r-release: bccp_0.5.0.zip, r-oldrel: bccp_0.5.0.zip |
| macOS binaries: | r-release (arm64): bccp_0.5.0.tgz, r-oldrel (arm64): bccp_0.5.0.tgz, r-release (x86_64): bccp_0.5.0.tgz, r-oldrel (x86_64): bccp_0.5.0.tgz |
| Old sources: | bccp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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