Package: inough 0.1.0

Pawel Lenartowicz

inough: Inattention Detection Pipeline for Psychophysical Tasks

Three-stage pipeline for detecting inattention episodes in long psychophysical tasks (200+ trials). Uses accuracy residuals and response pattern signals to locate, sharpen, and formally test candidate inattention regions at trial-level precision.

Authors:Pawel Lenartowicz [aut, cre], Maja Willard [aut]

inough_0.1.0.tar.gz
inough_0.1.0.tar.gz(r-4.7-any)inough_0.1.0.tar.gz(r-4.6-any)
inough_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
inough/json (API)

# Install 'inough' in R:
install.packages('inough', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pawlenartowicz/inough/issues

Datasets:
  • task_example - Example dual-task data with diverse inattention profiles

On CRAN:

Conda:

1.00 score 7 exports 32 dependencies

Last updated from:21f2d1a1e3. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK174
linux-release-x86_64OK116
wasm-releaseOK105

Exports:flagsinough_controlinough_detectinough_heuristicsinough_signalslz_complexityreport

Dependencies:bootclicpp11farverggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4MASSMatrixminqanlmenloptrpatchworkR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesvctrsviridisLitewithr