Description Usage Arguments Value
Compute the epsilon-complexity of a time series.
1 2 3 |
x |
A vector of points. |
ds |
Number of times to downsample the input sequence. |
max_degree |
The maximum order spline used in the approximation step |
method |
The interpolation or approximation method. One of c("bspline", "cspline") |
err_norm |
The norm type used in computing the approximation error. |
sample_type |
The downsampling type. Either randomly sampled or downsampled in integer steps. |
A list
with :
A | The epsilon-complexity intercept coefficient |
B | The epsilon-complexity slope coefficient |
fit | The full linear model generated by fitting log(epsilons) ~ log(S) using lm() . |
epsilons | The mean sum of absolute errors at each downsample level. |
S | The fraction of samples maintained at each downsample level. |
method | The method used or a list of methods if method "all" is used. |
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