• About
  • Documentation
  • More Universes
  • Recent Updates
  • Leader board
  • All repositories
  • All packages
  • All articles
  • All datasets
  • All system Libraries
cvoeten
  • Builds
  • Packages
  • Articles
  • Datasets
  • Contribution
  • Badges
  • API
  • Feed

Links tocvoeten

buildmer - Stepwise Elimination and Term Reordering for Mixed-Effects Regression

Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, the explained deviance, or the F-test of the change in R².

Last updated 1 years ago

5.66 score 164 scripts 1.4k downloads

permutes - Permutation Tests for Time Series Data

Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.

Last updated 1 years ago

4.11 score 13 scripts 874 downloads