Package: ffopportunity 0.1.2

Tan Ho

ffopportunity: Models for Fantasy Football Expected Points

Downloads expected fantasy points data from 'ffverse' repositories if available, and otherwise builds up expected points data by applying models to 'nflverse' play-by-play data.

Authors:Joe Sydlowski [aut, cph], Tan Ho [aut, cre]

ffopportunity_0.1.2.tar.gz
ffopportunity_0.1.2.zip(r-4.7-any)ffopportunity_0.1.2.zip(r-4.6-any)ffopportunity_0.1.2.zip(r-4.5-any)
ffopportunity_0.1.2.tgz(r-4.6-any)ffopportunity_0.1.2.tgz(r-4.5-any)
ffopportunity_0.1.2.tar.gz(r-4.7-any)ffopportunity_0.1.2.tar.gz(r-4.6-any)
ffopportunity_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ffopportunity/json (API)

# Install 'ffopportunity' in R:
install.packages('ffopportunity', repos = c('https://ffverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ffverse/ffopportunity/issues

Pkgdown/docs site:https://ffopportunity.ffverse.com

On CRAN:

Conda:

fantasy-footballffversenflnflverse

3.91 score 24 stars 34 scripts 8 exports 74 dependencies

Last updated from:74dcb35a11 (on main). Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR202
source / vignettesOK215
linux-releaseERROR195
macos-releaseERROR138
macos-oldrelERROR146
windows-develERROR122
windows-releaseERROR146
windows-oldrelERROR129
wasm-releaseOK132

Exports:.get_rosters%>%ep_buildep_cache_modelsep_loadep_predictep_preprocessep_summarize

Dependencies:cachemclasscliclockcodetoolscpp11curldata.tablediagramdigestdplyrfarverfastmapfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathmsipredisobandjanitorjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisenflreadrnnetnumDerivparallellypillarpkgconfigprodlimprogressrpurrrR6rappdirsRColorBrewerRcpprecipesrlangrpartS7scalesshapesnakecasesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxgboost

Readme and manuals

Help Manual

Help pageTopics
Build EPep_build
Model versioningep_cache_models
Load Expected Points dataep_load
Predict EPep_predict
Preprocess Dataep_preprocess
Summarize EPep_summarize