generate_preseason_mlm: Generates the preseason projections for the teams

In mattmills49/MELLS: Build CFB points scored prediction model

Description

This function generates preseason projections using mulilevel models to estimate the contribution of each team's offense and defense provides to their Expected Points Added per Play.

Usage

generate_preseason_mlm(run_plays, pass_plays)

Arguments

run_plays	the cleaned run plays after the add_epa function
pass_plays	the cleaned pass plays after the add_epa function

Value

a data frame containing the estimated team values at the end of each year.

Examples

years <- 2013:2014
plays <- readin("play", years)
teams <- readin("team", years)
runs <- readin("rush", years)
pass <- readin("pass", years)
games <- readin("game", years)
conf <- readin("conference", years)
epa_model <- expected_points_build(plays[plays$Year != 2014, ], drives[drives$Year != 2014, ])
fixed_games <- fix_games(games)
model_plays <- combine_run_pass(runs, pass, fixed_games) %>% remove_garbage %>% fix_fcs(teams, conf) %>% add_epa(epa_model)
preseason_vals <- generate_preseason_mlm(model_plays[[1]], model_plays[[2]])

mattmills49/MELLS documentation built on May 21, 2019, 1:25 p.m.