Description Usage Arguments Value Examples
Calculate the 3 Types iPA and iPAA Values for Each Player
1 2 | estimate_player_value_added(model_data_list, model_formula_list,
return_models = 1)
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model_data_list |
List of data frames:
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model_formula_list |
List of the following formulas:
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return_models |
Indicator for whether or not the models should be return in the list (default is yes, 1). |
Only return the original position tables from the input but modified so that the following columns are included:
"air_iPA" - Individual player points/probability added in the air.
"yac_iPA" - Individual player points/probability added after the catch.
"rush_iPA" - Individual player points/probability added from rushing.
"air_iPAA" - Individual player points/probability above average in the air.
"yac_iPAA" - Individual player points/probability above average after the catch.
"rush_iPAA" - Individual player points/probability above average from rushing.
as well as the resulting models:
"air_model" - Model fit for air component
"yac_model" - Model fit for yac component
"qb_rush_model" - Model fit for QB rushing/sacks
"main_rush_model" - Model for for all non-QB rushing attempts
1 2 3 | # Estimate the player effects and get the iPA and iPAA values:
model_data_list <- model_data_list %>%
estimate_player_value_added(model_formula_list, "none")
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