This package is considered a duplicate. The official version of this package is found at:https://angeella.r-universe.dev/pARI
Package: pARI 1.1.2
Angela Andreella
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:
pARI_1.1.2.tar.gz
pARI_1.1.2.tar.gz(r-4.5-noble)pARI_1.1.2.tar.gz(r-4.4-noble)
pARI_1.1.2.tgz(r-4.4-emscripten)pARI_1.1.2.tgz(r-4.3-emscripten)
pARI.pdf |pARI.html✨
pARI/json (API)
NEWS
| # Install 'pARI' in R: |
| install.packages('pARI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/angeella/pari/issues
Last updated 3 months agofrom:ce2e361046. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
Exports:criticalVectordIlambdaOptmap_TDPpARIpARIbrainpARIgenepermTestplotNullDistributionsignTestsimulateDatasimulateSpatialDataStatmap
Dependencies:ARIbrainhommelmatrixStatsplyrRcppRcppArmadilloRNifti
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Critical vector | criticalVector |
| Lower bound for the number of true discoveries | dI |
| Lambda calibration | lambdaOpt |
| True Discovery Proportion brain map | map_TDP |
| Permutation-based All-Resolutions Inference | pARI |
| Permutation-based All-Resolutions Inference for brain imaging. | pARIbrain |
| Permutation-based All-Resolutions Inference for Gene Expression Data | pARIgene |
| Permutation Test | permTest |
| Plot permutation p-values distribution | plotNullDistribution |
| Permutatation-based one-sample t-tests | signTest |
| simulate normal distributed data | simulateData |
| simulate normal distributed data | simulateSpatialData |
| Create Statistical Parametric Mapping (SPM) | Statmap |
