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mined
View on CRAN: Click
here
Download and install mined package within the R console
Install from CRAN:
install.packages("mined")
Install from Github:
library("remotes")
install_github("cran/mined") Install by package version:
library("remotes")
install_version("mined", "1.0-3") Attach the package and use:
library("mined")
Maintained by
Dianpeng Wang
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-16
Latest Update: 2022-06-26
Description:
This is a method (MinED) for mining probability distributions using deterministic sampling which is proposed by Joseph, Wang, Gu, Lv, and Tuo (2019) . The MinED samples can be used for approximating the target distribution. They can be generated from a density function that is known only up to a proportionality constant and thus, it might find applications in Bayesian computation. Moreover, the MinED samples are generated with much fewer evaluations of the density function compared to random sampling-based methods such as MCMC and therefore, this method will be especially useful when the unnormalized posterior is expensive or time consuming to evaluate. This research is supported by a U.S. National Science Foundation grant DMS-1712642.
How to cite:
Dianpeng Wang (2018). mined: Minimum Energy Designs. R package version 1.0-3, https://cran.r-project.org/web/packages/mined. Accessed 26 Aug. 2026.
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Complete documentation for mined
Functions, R codes and Examples using
the mined R package
Some associated functions: SelectMinED . lattice . mined-package . mined .
Some associated R codes: RcppExports.R . Full mined package functions and examples
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