Package: cPseudoMaRg 1.0.1

cPseudoMaRg: Constructs a Correlated Pseudo-Marginal Sampler

The primary function makeCPMSampler() generates a sampler function which performs the correlated pseudo-marginal method of Deligiannidis, Doucet and Pitt (2017) <arxiv:1511.04992>. If the 'rho=' argument of makeCPMSampler() is set to 0, then the generated sampler function performs the original pseudo-marginal method of Andrieu and Roberts (2009) <doi:10.1214/07-AOS574>. The sampler function is constructed with the user's choice of prior, parameter proposal distribution, and the likelihood approximation scheme. Note that this algorithm is not automatically tuned--each one of these arguments must be carefully chosen.

Authors:Taylor Brown [aut, cre]

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cPseudoMaRg.pdf |cPseudoMaRg.html
cPseudoMaRg/json (API)
NEWS

# Install 'cPseudoMaRg' in R:
install.packages('cPseudoMaRg', repos = c('https://trb5me.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 2 scripts 170 downloads 2 exports 0 dependencies

Last updated 3 years agofrom:20c9c34f29. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:isBadNummakeCPMSampler

Dependencies:

Using cPseudoMaRg

Rendered fromcPseudoMaRg-vignette.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2021-09-04
Started: 2021-09-04