add_air_yac_wp_variables

Data frame with all of the necessary columns used to estimate
and include the air and yac wpa

pbp_data

Given a `nflscrapR` play-by-play data frame, calculate the air and yac WPA 
for passing playse using the `nflscrapR` win probability model and include append
the column to the input data frame. See here for an explanation of the 
model methodology: <a href="https://arxiv.org/abs/1802.00998">https://arxiv.org/abs/1802.00998</a>. Source code for 
fitting the model is located here <a href="https://github.com/ryurko/nflscrapR-models/blob/master/R/init_models/init_ep_fg_models.R">https://github.com/ryurko/nflscrapR-models/blob/master/R/init_models/init_ep_fg_models.R</a>.

This package allows data driven sports enthusiasts to use the NFL JSON API data
to perform detailed analysis at game, season, and player levels. The functions within
this package help parse and clean the data from NFL.com for R users. This package was
built to enhance advanced sports analytics research specifically for American football
with the hopes of developing metrics and insights that could potentially be useful for
professional NFL teams as well as the public.

Maksim Horowitz

nflscrapR

Compiling the NFL Play-by-Play API for easy use in R

Ron Yurko

Samuel Ventura

Rishav Dutta

add_air_yac_wp_variables function

Given a `nflscrapR` play-by-play data frame, calculate the air and yac WPA 
for passing playse using the `nflscrapR` win probability model and include append
the column to the input data frame. See here for an explanation of the 
model methodology: <a href='https://arxiv.org/abs/1802.00998'>https://arxiv.org/abs/1802.00998</a>. Source code for 
fitting the model is located here <a href='https://github.com/ryurko/nflscrapR-models/blob/master/R/init_models/init_ep_fg_models.R'>https://github.com/ryurko/nflscrapR-models/blob/master/R/init_models/init_ep_fg_models.R</a>.

add_air_yac_wp_variables: Calculate and add the air and yac win probability variables to include in a `nflscrapR` play-by-play data frame

Description

Usage

Arguments

Value