hth_lmer: Assess Head-to-Head Performance Using lmer Model
In joranE/statskier2: Statistical Skier Tools

Fit an 'lmer()' model to prior head-to-head results for a set of skiers in order to plot expected vs observed performances. This is attempting to serve the same general purpose as 'head_to_head_race()' but using a more "sophisticated" method.

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hth_lmer(ath_names, race_id, num_opp = Inf, cutoff = 365 * 5,
  min_encounters = 1, measure = c("rank", "fispoints", "pb"),
  events = c("all", "maj_int"), restrict_by = NULL, race_title = "")

`ath_names`	character vector of athlete names
`race_id`	integer; id of the race to assess performance of
`num_opp`	integer; number of opponents to consider in each race, if 'Inf' use all opponents
`cutoff`	integer; size of time window in days to collect prior races from
`min_encounters`	integer; only include opponents who have faced an athlete at least this many times
`measure`	character; one of "rank", "fispints" or "pb" (percent back)
`restrict_by`	currently unused
`race_title`	character; race title to add to the plot