Module std_dev::regression::derived

Available on crate feature regression only.

Estimators derived from others, usual LinearEstimator.

These do not (for now) implement PowerEstimator nor ExponentialEstimator because of the requirement of mutable slices instead of immutable ones.

See the docs on the items for more info about how they’re created.

Functions

• exponential
  Fits a curve with the equation y = a * b^x (optionally with an additional subtractive term if any outcome is < 1 and an additive to the x if any predictor is < 1).
• exponential_given_min
  Same as exponential without the Clone requirement for the iterators, but takes a min value.
• exponential_olsols
  Convenience-method for exponential using OlsEstimator.
• power
  Fits a curve with the equation y = a * x^b (optionally with an additional subtractive term if any outcome is < 1 and an additive to the x if any predictor is < 1).
• power_given_min
  Same as power without the Clone requirement for the iterators, but takes a min value.
• power_olsols
  Convenience-method for power using OlsEstimator.