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:
cPseudoMaRg_1.0.1.tar.gz
cPseudoMaRg_1.0.1.zip(r-4.5)cPseudoMaRg_1.0.1.zip(r-4.4)cPseudoMaRg_1.0.1.zip(r-4.3)
cPseudoMaRg_1.0.1.tgz(r-4.4-any)cPseudoMaRg_1.0.1.tgz(r-4.3-any)
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cPseudoMaRg.pdf |cPseudoMaRg.html✨
cPseudoMaRg/json (API)
NEWS
# Install 'cPseudoMaRg' in R: |
install.packages('cPseudoMaRg', repos = c('https://tbrown122387.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:20c9c34f29. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:isBadNummakeCPMSampler
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
checks if a log-density evaluation is not a valid number | isBadNum |
correlated pseudo-marginal: generates functions that output a big vector | makeCPMSampler |
calculates the posterior mean point estimate | mean.cpmResults |
plots a cpmResults object | plot.cpmResults |
prints a cpmResults object | print.cpmResults |