Arguments
mat
matrix of series with series organized columnwise. The algorithm
treats each column separately.
roi
vector of two integers (c(min, max)) defining positions in all
series (rows in mat) to consider for spike detection, used together with
winlen. Must lie within the interval [2, nrow(mat) - 1]. Will be coerced
to integers.
winlen
integer defining the window of positions to consider for mean
and sem estimation for each series. Each estimation limits itself to the
position and a plus/minus winlen positions large window. Thus, winlen must
not be chosen larger than that the windows fit within mat, given the roi.
I.e. roi[1] - winlen >=1 AND roi[length(roi)] + winlen
spike.min.sd
numeric minimum number of standard deviations for a spike
to rise above the mean in order to be considered for a spike call and to be
excluded from the mean estimation of each subsequent iteration of the spike
calling algorithm
mc.cores
the number of cores do perform this calculation
verbose
Boolean indicating the number of new peaks detected with each
iteration. The algorithm stops as soon as this number does not sink
anymore. Turn this on if running into problems.
