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copre  

Tools for Nonparametric Martingale Posterior Sampling
View on CRAN: Click here


Download and install copre package within the R console
Install from CRAN:
install.packages("copre")

Install from Github:
library("remotes")
install_github("cran/copre")

Install by package version:
library("remotes")
install_version("copre", "0.2.1")



Attach the package and use:
library("copre")
Maintained by
Blake Moya
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-16
Latest Update: 2023-01-31
Description:
Performs Bayesian nonparametric density estimation using Martingale posterior distributions including the Copula Resampling (CopRe) algorithm. Also included are a Gibbs sampler for the marginal Gibbs-type mixture model and an extension to include full uncertainty quantification via a predictive sequence resampling (SeqRe) algorithm. The CopRe and SeqRe samplers generate random nonparametric distributions as output, leading to complete nonparametric inference on posterior summaries. Routines for calculating arbitrary functionals from the sampled distributions are included as well as an important algorithm for finding the number and location of modes, which can then be used to estimate the clusters in the data using, for example, k-means. Implements work developed in Moya B., Walker S. G. (2022). , Fong, E., Holmes, C., Walker, S. G. (2021) , and Escobar M. D., West, M. (1995) .
How to cite:
Blake Moya (2022). copre: Tools for Nonparametric Martingale Posterior Sampling. R package version 0.2.1, https://cran.r-project.org/web/packages/copre. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-08-16 12:00), 0.2.0 (2023-01-31 18:00)
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