Rmodule
Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation Matrices
v1.0
·
Aug 18, 2023
·
GPL (>= 2)
Description
Supports automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. The user supplies data, a correlation matrix in symbolic form, the current state of the chain, a function that computes the log likelihood, and a list of prior distributions. The package's flagship function then carries out a parameter-at-a-time update of all correlation parameters, and returns the new state. The method is presented in Hughes (2023), in preparation.
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| Flavor | Status |
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| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘John Hughes <drjphughesjr@gmail.com>’
Found the following (possibly) invalid file URI:
URI: drjphughesjr@gmail.com
From: inst/doc/Rmodule.pdf
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r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘John Hughes <drjphughesjr@gmail.com>’
Found the following (possibly) invalid file URI:
URI: drjphughesjr@gmail.com
From: inst/doc/Rmodule.pdf
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘John Hughes <drjphughesjr@gmail.com>’
Found the following (possibly) invalid file URI:
URI: drjphughesjr@gmail.com
From: inst/doc/Rmodule.pdf
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘John Hughes <drjphughesjr@gmail.com>’
Found the following (possibly) invalid file URI:
URI: drjphughesjr@gmail.com
From: inst/doc/Rmodule.pdf
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1.0
Mar 10, 2026