rFSA
easystats
Our great sponsors
| rFSA | easystats | |
|---|---|---|
| 1 | 3 | |
| 7 | 1,019 | |
| - | 2.8% | |
| 1.8 | 7.8 | |
| almost 3 years ago | 9 days ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
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rFSA
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Parallel Computing: Best Subset Selection glm's for Windows
Looks like the core limitation is due to the parallelization scheme used within the function. The package source code is available on github, so you could pull apart the function of interest and rewrite how it's doing parallelization. (so away from mclapply and to a more windows-friendly paradigm).
easystats
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My recommended R packages / functions for behavioral researchers who deal with 2X2 experiments
I'd also recommend the whole easystats suite of packages. They make model post-processing much easier. It includes a more intuitive (but more limited, imo) replacement for emmeans: modelbased.
- Most useful new packages (or package updates) from the last 3 years
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ISO a holy grail RStudio tutorial account, specifically for data analysis in psychology.
The Easystats suite, which includes several packages. It's extremely useful for Bayesian analyses, but even if you stay on the frequentist side, I recommend its performance, parameters, effectsize and correlation packages. Performance is particularly useful in conjunction to DHARMa for model diagnostic and comparison.
What are some alternatives?
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
awesome-R - A curated list of awesome R packages, frameworks and software.
timevis - 📅 Create interactive timeline visualizations in R
targets - Function-oriented Make-like declarative workflows for R
afex - Analysis of Factorial EXperiments (R package)
waffle - :maple_leaf: Make waffle (square pie) charts in R
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
HoRM - Supplemental Functions and Datasets for "Handbook of Regression Methods"
rcanvas - R Client for Canvas LMS API