lmForc
nflfastR
| lmForc | nflfastR | |
|---|---|---|
| 5 | 7 | |
| 5 | 393 | |
| - | 0.8% | |
| 2.9 | 8.1 | |
| about 2 months ago | 8 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lmForc
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[S] R Package for Creating Linear Forecasting Models
GitHub: https://github.com/nelson-n/lmForc
- [S] New R package for linear model forecasting
- New R package for linear model forecasting
nflfastR
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Data for players on field play-by-play?
nflfastr has an extensive library of PlayByPlay, Roster, and Gamelog data that you can access programmatically via R.
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[OC] Cumulative Win Probability Added: AFC Bubble
For more on all this, here's the source of my data: {nflfastR}
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[OC] Cumulative Win Probability Added - AFC East, 2022
Source: {nflfastR} play-by-play and win probability models.
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Best Data Source for NFL Play-by-Play
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Metric for how many different receivers quarterbacks utilize?
nflfastR is a database with play by play data going back to 1999, it has everything you'd need to create such a metric, but you gotta write the query yourself :)
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[OC] Superbowl Probability of Winning: Play-by-play
Data Source: nflfastr library: https://github.com/mrcaseb/nflfastR
What are some alternatives?
forecast - Forecasting Functions for Time Series and Linear Models
nfldata - NFL Data (by Lee Sharpe)
bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
nflverse-data - Automated nflverse data repository
future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
shiny.i18n - Shiny applications internationalization made easy
huxtable - An R package to create styled tables in multiple output formats, with a friendly, modern interface.
parsel - parallel execution of RSelenium
rtypeform - An R interface to the 'typeform' API.
nfl_data_py - Python code for working with NFL play by play data.
littler - A scripting and command-line front-end for GNU R
xlsx - An R package to interact with Excel files using the Apache POI java library