multiCycleInverse: multiCycleInverse

In dlandy/WarpedBayes: Implements Design Pattern Discussed in Landy, Crawford, & Corbin

Description

recombines a mapping, of any sort (bounded, semi-bounded, or unbounded) into single region, by eliminating 'references' inside the space. Functionally, multiCycleInvers simply undoes a vector of stimuli into

Usage

multiCycleInverse(warpedStimuli, references = c(0))

Arguments

warpedStimuli	a vector of stimuli, between -inf and inf, or a list of vectors of stimuli
references	A vector of values. This should include -Inf and Inf, but these are implicitly added if they are omitted

Details

For instance, a spatial region |—————-| might be divided by a line of vertical symmetry into two regions |——–||——–| And each be turned int an unbounded Prelec region <——–><——–> with a command like -10:10 multiCycleInverse would then recombine these values into a single range.

KEY LIMITATION: Right now, multiCycleInverse can only 'handle' one layer of recursion. That is, you can't make calls like -10:10 . Sorry.

Value

A vector containing warped stimuli, or a list of vectors

See Also

psiIdentity, psiLogOdds, psiPrelec, psiLog, psiLinearInverse

Examples

multiCycle(-99:100, c(-100, 0, 100))
plot(-99:100, unlist(multiCycle(-99:100, c(-100, -50, 0, 50, 100))))
(-99:100/100) %>% multiCycle(-1, 0, 1) %>% 
    psiLogOdds() %>% vanillaBayes() %>% 
    psiLogOddsInverse() %>% 
    multiCycleInverse(-1, 0, 1) # Implements Landy et al's model 
    # of one-dimensional spatial memory, with fixed boundaries

dlandy/WarpedBayes documentation built on May 29, 2019, 2:49 p.m.