covid19model
fastverse
| covid19model | fastverse | |
|---|---|---|
| 2 | 3 | |
| 943 | 214 | |
| 0.0% | 1.4% | |
| 0.0 | 6.8 | |
| about 3 years ago | 4 days ago | |
| Stan | R | |
| MIT License | GNU General Public License v3.0 only |
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covid19model
fastverse
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Looking for a book for better coding - preferably functional
For writing faster code, the first thing you want to try is making sure it's properly vectorised. See The R Inferno for this. Some problems are more difficult than others to vectorise. When vectorisation is impossible, you probably want to interface with C++. First, check if there's already a fast package that serves your needs. If your problem is too specific, consider writing your own C++ code with Rcpp.
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Vectorized function VS Loops
I understand the sentiment and I'm not trying to convince you to start writing optimised code to save ~2ms. There's a ton of optimised tools that I don't use myself because the time benefit is immaterial for what I do.
- Fastverse High-Performance and Low-Dependency Package for Data Manipulation in R
What are some alternatives?
machinelearnjs - Machine Learning library for the web and Node.
targets - Function-oriented Make-like declarative workflows for R
collapse - Advanced and Fast Data Transformation in R
engsoccerdata - English and European soccer results 1871-2022
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
awesome-R - A curated list of awesome R packages, frameworks and software.
aorsf - Accelerated Oblique Random Survival Forests
quantmod - Quantitative Financial Modelling Framework
Econometrics-on-Stock-Data - R finance guide - Algotrading101
poorman - A poor man's dependency free grammar of data manipulation