Package: ffopportunity 0.1.0.07

Joe Sydlowski

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, cre, cph], Tan Ho [aut]

ffopportunity_0.1.0.07.tar.gz
ffopportunity_0.1.0.07.zip(r-4.5)ffopportunity_0.1.0.07.zip(r-4.4)ffopportunity_0.1.0.07.zip(r-4.3)
ffopportunity_0.1.0.07.tgz(r-4.4-any)ffopportunity_0.1.0.07.tgz(r-4.3-any)
ffopportunity_0.1.0.07.tar.gz(r-4.5-noble)ffopportunity_0.1.0.07.tar.gz(r-4.4-noble)
ffopportunity_0.1.0.07.tgz(r-4.4-emscripten)ffopportunity_0.1.0.07.tgz(r-4.3-emscripten)
ffopportunity.pdf |ffopportunity.html
ffopportunity/json (API)
NEWS

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

Peer review:

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

Pkgdown:https://ffopportunity.ffverse.com

On CRAN:

fantasy-footballffversenflnflverse

3.00 score 10 stars 8 scripts 8 exports 65 dependencies

Last updated 4 months agofrom:684af90920 (on main). Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-winNOTEDec 07 2024
R-4.5-linuxNOTEDec 07 2024
R-4.4-winNOTEDec 07 2024
R-4.4-macNOTEDec 07 2024
R-4.3-winNOTEDec 07 2024
R-4.3-macNOTEDec 07 2024

Exports:.get_rosters%>%ep_buildep_cache_modelsep_loadep_predictep_preprocessep_summarize

Dependencies:cachemclasscliclockcodetoolscpp11curldata.tablediagramdigestdplyrfansifastmapfuturefuture.applygenericsglobalsgluegowerhardhathmsipredjanitorjsonliteKernSmoothlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisenflreadrnnetnumDerivparallellypillarpkgconfigprodlimprogressrpurrrR6rappdirsRcpprecipesrlangrpartshapesnakecaseSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrswithrxgboost

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