Estimation, regression and classification are redefined using a mathematically intractible measure, namely, the arc length. Functions for parameter estimation, goodness-of-fit and regression (linear and non-linear) are provided. These methods have been implemented with parallel computing in mind, and may therefore be executed on large clusters.
|Author||M Theodor Loots <[email protected]>|
|Maintainer||M Theodor Loots <[email protected]>|
|Package repository||View on GitHub|
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