model_pred_mat: Return pairwise predictions for specified agents

In dclaz/mELO: Multidimensional Elo Ratings

Description

Given a mELO_rating model and a vector of agents, this function gives the predicted success probabilities for each combination. This is useful for mELO models as the ratings alone is not useful for predicting outcomes.

Usage

model_pred_mat(model, agents, round = 4)

Arguments

model	An object of class mELO_rating.
agents	a vector of agents/players/teams you would like to pairwise predictions for.
round	Round results to how many figures. Default is 4.
actual_matrix	Should result be an actual matrix? Default is FALSE and the output is a data.frame.

Value

a data.frame.

Examples

# Fit a mELO model that can handle these types of interactions.
rps_mELO <- mELO(rps_df, k=1)
rps_mELO

# Get pairwise predictions
model_pred_mat(
   rps_mELO,
   unique(rps_df[[2]])
)

dclaz/mELO documentation built on May 17, 2021, 2:27 a.m.