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ERP

2.2

Significance Analysis of Event-Related Potentials Data

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Overview

About
Maintained by David CauseurFirst published 2014-04-045 releasesCRAN page ↗

Functions for signal detection and identification designed for Event-Related Potentials (ERP) data in a linear model framework. The functional F-test proposed in Causeur, Sheu, Perthame, Rufini (2018, submitted) for analysis of variance issues in ERP designs is implemented for signal detection (tests for mean difference among groups of curves in One-way ANOVA designs for example). Once an experimental effect is declared significant, identification of significant intervals is achieved by the multiple testing procedures reviewed and compared in Sheu, Perthame, Lee and Causeur (2016, DOI:10.1214/15-AOAS888). Some of the methods gathered in the package are the classical FDR- and FWER-controlling procedures, also available using function p.adjust. The package also implements the Guthrie-Buchwald procedure (Guthrie and Buchwald, 1991 DOI:10.1111/j.1469-8986.1991.tb00417.x), which accounts for the auto-correlation among t-tests to control erroneous detection of short intervals. The Adaptive Factor-Adjustment method is an extension of the method described in Causeur, Chu, Hsieh and Sheu (2012, DOI:10.3758/s13428-012-0230-0). It assumes a factor model for the correlation among tests and combines adaptively the estimation of the signal and the updating of the dependence modelling (see Sheu et al., 2016, DOI:10.1214/15-AOAS888 for further details).

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Slowest check: 6.4 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
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Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • NOTE2026-03-10
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Documentation

Documentation
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Examples that run
83%
Documented parameters
94%
Return-value docs
100%
References docs
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Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (9)
graphicsgrDevicesstatscorpcorirlbafdrtoolsplinesmnormtpacman
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none
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none
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Listed in earlier versions (10)
no longer listed · 1.0.1 to 1.1
no longer listed · 1.0.1 to 1.1
no longer listed · 1.0.1 to 1.1
no longer listed · 1.0.1 to 1.1
no longer listed · 1.0.1 to 1.1
no longer listed · 1.0.1 to 1.1
no longer listed · 2.0 to 2.2
no longer listed · 2.0 to 2.2
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 2.2Latest
    2019-12-13 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 2.1
    2018-10-05 · diff ↗
  • 2.0
    2018-06-26 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1
    2015-12-14 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
Show 3 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0.1
    2014-04-04
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-04-04
Total releases
5 / 12 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
366 KB / 1 file
Download size
599 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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