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This function computes approximate entropy of given time series. It is implemented in C.
ApEn_C(TS, dim = 2, lag = 1, r = 0.2 * sd(TS))
- given time series
- dimension of given time series, default value is 2
- downsampling, default value is 1
- radius of searched areas, default value is 0.2*sd(TS)
# NOT RUN { timser <- rnorm(2000) ApEn_C(timser) ApEn_C(timser, r = 0.1*sd(timser)) ApEn_C(timser, dim = 3, r = 0.1*sd(timser)) # }
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