Package: pARI 1.1.2

pARI: Permutation-Based All-Resolutions Inference

Computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <doi:10.1002/sim.9725>.

Authors:Angela Andreella [aut, cre]

pARI_1.1.2.tar.gz
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pARI_1.1.2.tgz(r-4.4-x86_64)pARI_1.1.2.tgz(r-4.4-arm64)pARI_1.1.2.tgz(r-4.3-x86_64)pARI_1.1.2.tgz(r-4.3-arm64)
pARI_1.1.2.tar.gz(r-4.5-noble)pARI_1.1.2.tar.gz(r-4.4-noble)
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pARI.pdf |pARI.html
pARI/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/angeella/pari/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

aricluster-mapcopesdiscoveriesfmrifslpermutationselective-inferencesimultaneous-confidence-boundsspm

4.78 score 4 stars 1 packages 7 scripts 183 downloads 13 exports 7 dependencies

Last updated 3 months agofrom:285e7b0587. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:criticalVectordIlambdaOptmap_TDPpARIpARIbrainpARIgenepermTestplotNullDistributionsignTestsimulateDatasimulateSpatialDataStatmap

Dependencies:ARIbrainhommelmatrixStatsplyrRcppRcppArmadilloRNifti

intro

Rendered fromintro.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2024-09-05
Started: 2024-09-05