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abcrf
View on CRAN: Click
here
Download and install abcrf package within the R console
Install from CRAN:
install.packages("abcrf")
Install from Github:
library("remotes")
install_github("cran/abcrf")
Install by package version:
library("remotes")
install_version("abcrf", "1.9")
Attach the package and use:
library("abcrf")
Maintained by
Jean-Michel Marin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-18
Latest Update: 2022-08-09
Description:
Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.
Pudlo P., Marin J.-M., Estoup A., Cornuet J.-M., Gautier M. and Robert C. P. (2016) .
Estoup A., Raynal L., Verdu P. and Marin J.-M. .
Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) .
How to cite:
Jean-Michel Marin (2015). abcrf: Approximate Bayesian Computation via Random Forests. R package version 1.9, https://cran.r-project.org/web/packages/abcrf. Accessed 01 May. 2025.
Previous versions and publish date:
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View abcrf citation profile
Other R packages that abcrf depends,
imports, suggests or enhances
Complete documentation for abcrf
Functions, R codes and Examples using
the abcrf R package
Some associated functions: abcrf . covRegAbcrf . densityPlot . err.abcrf . err.regAbcrf . plot.abcrf . plot.regAbcrf . predict.abcrf . predict.regAbcrf . predictOOB . readRefTable . regAbcrf . snp . variableImpPlot .
Some associated R codes: RcppExports.R . abcrf.R . covRegAbcrf.R . densityPlot.R . err.abcrf.R . err.regAbcrf.R . plot.abcrf.R . plot.regAbcrf.R . predict.abcrf.R . predict.regAbcrf.R . predictOOB.R . readRefTable.R . regAbcrf.R . sampleTest.R . variableImpPlot.R . Full abcrf package functions and examples
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