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:
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 = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/angeella/pari/issues
Last updated 7 months agofrom:ce2e361046. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 07 2025 |
R-4.5-linux-x86_64 | OK | Mar 07 2025 |
R-4.4-linux-x86_64 | OK | Mar 07 2025 |
Exports:criticalVectordIlambdaOptmap_TDPpARIpARIbrainpARIgenepermTestplotNullDistributionsignTestsimulateDatasimulateSpatialDataStatmap
Dependencies:ARIbrainhommelmatrixStatsplyrRcppRcppArmadilloRNifti
Citation
To cite package ‘pARI’ in publications use:
Andreella A (2024). pARI: Permutation-Based All-Resolutions Inference. R package version 1.1.2, https://CRAN.R-project.org/package=pARI.
Corresponding BibTeX entry:
@Manual{, title = {pARI: Permutation-Based All-Resolutions Inference}, author = {Angela Andreella}, year = {2024}, note = {R package version 1.1.2}, url = {https://CRAN.R-project.org/package=pARI}, }
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 |