Packaged: Wed Jan 13 18:14:45 2010; roca

Packaged: 2010-11-27 15:19:42 UTC; Administrador

Title: Permutation-Based All-Resolutions Inference Method
Authors@R: c(person(given="Angela", family="Andreella", comment=c("Main author", ORCID  = "0000-0002-1141-3041"), email="angela.andreella@unipd.it", role=c("aut", "cre")))
Description: It computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <arXiv:2012.00368>.
Imports: Rcpp (>= 1.0.3), matrixStats, RNifti, stats, grDevices,
Packaged: 2021-11-15 21:41:18 UTC; Angela Andreella
Author: Angela Andreella [aut, cre] (Main author,

Packaged: 2021-11-18 09:18:01 UTC; Angela Andreella

Packaged: 2022-01-10 07:52:06 UTC; Angela Andreella

Title: Estimation of partial attributable risks (PAR) from case-control data
Description: Functions to estimate partial attributable risks from case-control data with
corresponding percentile or BCa confidence intervals
Packaged: Wed Oct 15 12:06:37 2008; raemschc

Title: Estimation of attributable and partial attributable risks (AR
and PAR) and visualization of attributable risks from
Depends: R (>= 2.8.1), e1071, cba, cluster, gtools, methods
Description: Functions to estimate (partial) attributable risks from
case-control data with corresponding percentile or BCa
confidence intervals; Visualization of attributable riks
Packaged: Thu Nov 26 15:06:26 2009; raemschc

Packaged: Fri Feb 5 10:33:47 2010; raemschc

Description: pARtial implements (partial) attributable risk estimates, corresponding variance estimates and confidence intervals.
Packaged: Mon Feb 23 10:44:03 2009; hornik

Packaged: Thu Sep 28 16:30:56 2006; lehbat

Title: Benchmarking and Rescaling R2 using Noise Percentile Analysis
Description: Provides the tools needed to benchmark the R2 value corresponding to a certain acceptable noise level while also providing a rescaling function based on that noise level yielding a new value of R2 we refer to as R2k which is independent of both the number of degrees of freedom and the noise distribution function.
Depends: ggplot2, coin, grDevices, graphics, stats