README.md

In CrumpLab/conflictPower: Simulation based power analysis for adaptive control designs

conflictPower

Simulation-based power analysis for adaptive control designs

This package includes functions for conducting statistical power analysis for conflict designs (e.g., Stroop, Flanker, LWPC, ISPC, CSPC, etc.). The approach uses Monte-Carlo simulation. Parameters for variability in base reaction time distributions are used to sample single-trial data from an ex-Gaussian distribution, using the rexgauss function from the retimes package (note: retimes was removed from CRAN. This package includes the necessary function from an archived version of retimes). The rexgauss function samples n observations from an ex-Gaussian distribution, with parameters mu (mean of a normal distribution), sigma (standard deviation of a normal distribution), and tau (exponent of an exponential distribution). See the article for examples.

Installation from Github

Make sure you have the devtools package installed.

install.packages("devtools")

Then, run in the console:

devtools::install_github("CrumpLab/conflictPower")

Citation

Crump, M. J. C., & Brosowsky, N. P. (2019). conflictPower: Simulation based power analysis for adaptive control designs. R package version 0.1.0

Bibtex Entry

@Manual{,
    title = {conflictPower: Simulation based power analysis for adaptive control designs},
    author = {Matthew J. C. Crump and Nicholaus P. Brosowsky},
    note = {R package version 0.1.0},
    year = {2019},
  }

CrumpLab/conflictPower documentation built on May 17, 2022, 5:48 a.m.