Package: Dogoftest 0.4.3

Dogoftest: Distributed Online Goodness-of-Fit Tests for Distributed Datasets

Distributed Online Goodness-of-Fit Test can process the distributed datasets. The philosophy of the package is described in Guo G.(2024) <doi:10.1016/j.apm.2024.115709>.

Authors:Guangbao Guo [aut, cre], Di Chang [aut]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Dogoftest/json (API)

# Install 'Dogoftest' in R:
install.packages('Dogoftest', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 275 downloads 26 exports 0 dependencies

Last updated from:338923687b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK101
source / vignettesOK143
linux-releaseOK96
macos-releaseOK93
macos-oldrelOK98
windows-develOK69
windows-releaseOK67
windows-oldrelOK59
wasm-releaseOK68

Exports:AD2gofADgofCVM2gofCVMgofDADDAD2DCVMDCVM2DKSDKS2DPECVMDPECVM2KS2gofKSgofKuiper2gofPE2ADPE2CVMPE2KSPECVMPEKSqCvMgofrun_custom_testsrun_FDP_simsimpleCvMgofsimulate_powerWgof

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Two-Sample Anderson-Darling Permutation TestAD2gof
Anderson-Darling Test for NormalityADgof
Air Quality Data Setair_quality
Data setBSdata
Two-Sample Cramér-von Mises Permutation TestCVM2gof
One-Sample Cramér–von Mises Test for NormalityCVMgof
DAD This function implements a resampling-based AD goodness-of-fit test. It draws K bootstrap subsamples, performs AD goodness-of-fit test on each subsample, returns the average AD statistic and the minimum p-value across all K subsamples.DAD
Distributed Two-Sample Anderson-Darling Test via Fisher CombinationDAD2
DCVM This function implements a resampling-based CVM goodness-of-fit test. It draws K bootstrap subsamples, performs CVM goodness-of-fit test on each subsample, returns the average CVM statistic and the minimum p-value across all K subsamples.DCVM
Distributed Two-Sample Cramér-von Mises Test via Fisher CombinationDCVM2
DKS This function implements a resampling-based KS test. It draws K bootstrap subsamples, performs KS goodness-of-fit test on each subsample, returns the average KS statistic and the minimum p-value across all K subsamples.DKS
Distributed Two-Sample KS Test via Fisher CombinationDKS2
DPECVM Performs the divided PECVM goodness-of-fit test. The original sample is split into K bootstrap subsamples, PECVM test is applied on each subsample. The final test statistic is the average of subsample statistics, and the p-value is taken as the minimum of subsample p-values.DPECVM
Distributed Power-Enhanced Two-Sample Cramer-von Mises TestDPECVM2
Zoometric measurements of goatsgoats
Two-Sample Kolmogorov-Smirnov Test with Bootstrap/PermutationKS2gof
One-sample Kolmogorov-Smirnov goodness-of-fit testKSgof
Two-Sample Kuiper Test with BootstrapKuiper2gof
Power-Enhanced Two-Sample Anderson-Darling Test (PE2AD)PE2AD
Power-Enhanced Two-Sample Cramer-von Mises Test (PE2CVM)PE2CVM
Power-Enhanced Two-Sample Kolmogorov–Smirnov Test (PE2KS)PE2KS
Power-Enhanced Cramer-von Mises Goodness-of-Fit TestPECVM
Power-Enhanced Kolmogorov–Smirnov Goodness-of-Fit TestPEKS
Calculate the Quantile of the Cramer-von Mises Goodness-of-Fit StatisticqCvMgof
Run four goodness-of-fit tests for normalityrun_custom_tests
Compute False Discovery Proportion (FDP) via Monte Carlo simulation for DKS, DCVM, DAD and DPECVM tests.run_FDP_sim
Perform a Simple Cramer-von Mises Goodness-of-Fit TestsimpleCvMgof
Monte Carlo Power Simulation for Goodness-of-Fit Testssimulate_power
Snow DatasetSnow snow
Compressive strength of maize seedsstrength
Watson goodness-of-fit test Performs the Watson test for goodness-of-fit to a specified distribution.Wgof
White Wine Quality DataWhiteWine