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flintyR
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Download and install flintyR package within the R console
Install from CRAN:
install.packages("flintyR")
Install from Github:
library("remotes")
install_github("cran/flintyR") Install by package version:
library("remotes")
install_version("flintyR", "0.1.0") Attach the package and use:
library("flintyR")
Maintained by
Alan Aw
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First Published: 2021-09-06
Latest Update: 2023-03-23
Description:
Given a multivariate dataset and some knowledge about the dependencies
between its features, it is customary to fit a statistical model to the features
to infer parameters of interest. Such a procedure implicitly assumes that the
sample is exchangeable. This package provides a flexible non-parametric test
of this exchangeability assumption, allowing the user to specify the feature
dependencies by hand as long as features can be grouped into disjoint independent sets.
This package also allows users to test a dual hypothesis, which is, given that the
sample is exchangeable, does a proposed grouping of the features into disjoint sets
also produce statistically independent sets of features? See Aw, Spence and Song (2023)
for the accompanying paper.
How to cite:
Alan Aw (2021). flintyR: Simple and Flexible Tests of Sample Exchangeability. R package version 0.1.0, https://cran.r-project.org/web/packages/flintyR. Accessed 07 Mar. 2026.
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Complete documentation for flintyR
Functions, R codes and Examples using
the flintyR R package
Some associated functions: blockGaussian . blockLargeP . blockPermute . buildForward . buildReverse . cacheBlockPermute1 . cacheBlockPermute2 . cachePermute . distDataLargeP . distDataPValue . distDataPermute . flintyR-package . getBinVStat . getBlockCov . getChi2Weights . getCov . getHammingDistance . getLpDistance . getPValue . getRealVStat . hamming_bitwise . indGaussian . indLargeP . lp_distance . naiveBlockPermute1 . naiveBlockPermute2 . weightedChi2P .
Some associated R codes: RcppExports.R . auxiliary.R . getPValue.R . Full flintyR package functions and examples
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