nonRecursive takes a data frame of RT data and returns trimmed rt data that fall below a set standard deviation above the each participant's mean for each condition. The SD used for trimming is proportional to the number of trials in the data being passed, as described in van Selst & Jolicoeur (1994).
hybridRecursive takes a data frame of RT data and returns trimmed rt data. The returned value is the average returned from the nonRecursive and the modifiedRecursive procedures as described in van Selst & Jolicoeur (1994).
modifiedRecursive takes a data frame of RT data and returns trimmed rt data that fall below a set standard deviation above the each participant's mean for each condition, with the criterion changing as more trials are removed, as described in van Selst & Jolicoeur (1994).
sdTrim
(Package: trimr) :
RT trimming with standard deviation criterion
sdTrim takes a data frame of RT data and returns trimmed rt data that fall below a set set criterion (based on standard deviations above a particular mean). The criterion can be based on the mean of the whole set of data, based on the mean per experimental condition, based on the mean per participant, or based on the mean of each participant in each experimental condition.
providing 
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