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We provide a toolbox to conduct a Bayesian meta-analysis for estimating the current expansion rate of the Universe, called the Hubble constant H0, via time delay cosmography. The input data are Fermat potential difference and time delay estimates. For a robust inference, we assume a Student's t error for these inputs. Given these inputs, the meta-analysis produces posterior samples of the model parameters including the Hubble constant via Metropolis-Hastings within Gibbs. The package provides an option to implement repelling-attracting Metropolis-Hastings within Gibbs in a case where the parameter space has multiple modes.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.2.0) |
| Published: | 2023-08-24 |
| Author: | Hyungsuk Tak |
| Maintainer: | Hyungsuk Tak <hyungsuk.tak at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | h0 results |
| Reference manual: | h0.pdf |
| Package source: | h0_1.0.1.tar.gz |
| Windows binaries: | r-devel: h0_1.0.1.zip, r-release: h0_1.0.1.zip, r-oldrel: h0_1.0.1.zip |
| macOS binaries: | r-release (arm64): h0_1.0.1.tgz, r-oldrel (arm64): h0_1.0.1.tgz, r-release (x86_64): h0_1.0.1.tgz, r-oldrel (x86_64): h0_1.0.1.tgz |
| Old sources: | h0 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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