parabar - Progress Bar for Parallel Tasks

A simple interface in the form of R6 classes for executing tasks in parallel, tracking their progress, and displaying accurate progress bars.

Last updated 3 months ago

parallel-computingprogress-bar

7.53 score 19 stars 5 dependents 20 scripts 554 downloads

doParabar - 'foreach' Parallel Adapter for 'parabar' Backends

Provides a 'foreach' parallel adapter for 'parabar' backends. This package offers a minimal implementation of the '%dopar%' operator, enabling users to run 'foreach' loops in parallel, leveraging the parallel and progress-tracking capabilities of the 'parabar' package. Learn more about 'parabar' and 'doParabar' at <https://parabar.mihaiconstantin.com>.

Last updated 2 months ago

foreachparallel-computing

3.65 score 1 stars 1 dependents 5 scripts 224 downloads

powerly - Sample Size Analysis for Psychological Networks and More

An implementation of the sample size computation method for network models proposed by Constantin et al. (2021) <doi:10.31234/osf.io/j5v7u>. The implementation takes the form of a three-step recursive algorithm designed to find an optimal sample size given a model specification and a performance measure of interest. It starts with a Monte Carlo simulation step for computing the performance measure and a statistic at various sample sizes selected from an initial sample size range. It continues with a monotone curve-fitting step for interpolating the statistic across the entire sample size range. The final step employs stratified bootstrapping to quantify the uncertainty around the fitted curve.

Last updated 2 years ago

network-modelspower-analysispsychologysample-size-calculation

3.60 score 8 stars 3 scripts 266 downloads