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:Angela Andreella [aut, cre]

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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

3.18 score 1 packages 7 scripts 330 downloads 13 exports 7 dependencies

Last updated 2 months agofrom:ce2e361046. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 08 2024
R-4.5-linux-x86_64	OK	Oct 08 2024

Exports:criticalVector dI lambdaOpt map_TDP pARI pARIbrain pARIgene permTest plotNullDistribution signTest simulateData simulateSpatialData Statmap

Dependencies:ARIbrain hommel matrixStats plyr Rcpp RcppArmadillo RNifti

intro

Rendered fromintro.Rmdusingknitr::rmarkdownon Oct 08 2024.

Last update: 2024-09-07
Started: 2024-09-07

Citation

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