colley_weight: Performs Colley Matrix Ranking Algorithm adapting for time
In jalapic/ratingsR: Calculate ratings of winner-loser matrices

Performs Colley Matrix Ranking Algorithm adapting for time

1	colley_weight(df, method = "linear", ts = NULL)

`df`	A winner-loser dataframe There should be four columns. The first two are each competitor in a competition. The third columns should have a 1 if the team in the first column is the winner and a 0 if the team in the second column is the winner. The fourth column is a time unit.
`method`	The method to adjust weights of wins based on time. Can be `linear`, `exp`, `log` or `step`.
`ts`	The time unit at which the step function goes from weighting wins as 1 to 2.

A vector of ratings

Method not yet implemented for ties.

 colley_weight(bball2, 'linear')
 colley_weight(bball2, 'log')
 colley_weight(bball2, 'exp')
 colley_weight(bball2, 'step', ts=5)

jalapic/ratingsR documentation built on May 18, 2019, 11:18 a.m.

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