203,956 comparisons among 146 agents.
One of 2 tables from the same source; this one is the england table. The others are listed under Related tables.
| Description | Top 4 England tiers from 1888/89 season to 2021/22 season. |
|---|---|
| DOI | 10.32614/CRAN.package.footBayes |
| Licence | GPL-2.0 |
| Source data | https://cran.r-project.org/web/packages/footBayes/index.html |
| Comparisons | 203,956 |
|---|---|
| Agents | 146 |
agent_aagent_bdatehomefieldscore_ascore_bseasonwinner
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("footbayes_england", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("footbayes_england", source="comp")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch footbayes_england, clear source(comp)
@misc{Egidi_2022, title={footBayes: Fitting Bayesian and MLE Football Models}, url={http://dx.doi.org/10.32614/CRAN.package.footBayes}, DOI={10.32614/cran.package.footbayes}, journal={CRAN: Contributed Packages}, publisher={The R Foundation}, author={Egidi, Leonardo and Macrì Demartino, Roberto and Palaskas., Vasilis}, year={2022}, month=feb }
| IRW version | v712 |
|---|---|
| Redivis dataset | irw_competitions v7.1 |
| Redivis dataset DOI | 10.57761/3r1w-t660 |
| Manifest pin for this IRW version | v7.1 |
| Metadata source | irw_meta v68.0 |