zapweak | R Documentation |
Given a hyper2
object, discard competitors with a small estimated
strength.
zapweak(H, minstrength = 1e-05, maxit, ...)
H |
Object of class |
minstrength |
Strength below which to discard competitors |
maxit |
Maximum number of iterations; if missing, use
|
... |
Further arguments, passed to |
Iteratively discards the weakest player (if the estimated strength is
less than minstrength
) using discard_flawed()
.
maxp(..,n=1)
for efficiency.
Returns a slimmed-down hyper2
object with weak players
removed.
This function is experimental and appears to be overly aggressive.
For some likelihood functions zapweak()
removes all the
players.
I now think that there is no consistent way to remove weaker players from a likelihood function. I think the only way to do it is to look at the dataset that generates the likelihood function, somehow weed out the players with the poorest performance, and generate a new likelihood function without them.
Robin K. S. Hankin
discard_flawed
,maxp
zapweak(icons) # removes noone
# zapweak(rowing) # removes everyone...
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