pybaselines.whittaker

Whittaker-smoothing-based techniques for fitting baselines to experimental data.

Functions

airpls	Adaptive iteratively reweighted penalized least squares (airPLS) baseline.
arpls	Asymmetrically reweighted penalized least squares smoothing (arPLS).
asls	Fits the baseline using asymmetric least squares (AsLS) fitting.
aspls	Adaptive smoothness penalized least squares smoothing (asPLS).
brpls	Bayesian Reweighted Penalized Least Squares (BrPLS) baseline.
derpsalsa	Derivative Peak-Screening Asymmetric Least Squares Algorithm (derpsalsa).
drpls	Doubly reweighted penalized least squares (drPLS) baseline.
iarpls	Improved asymmetrically reweighted penalized least squares smoothing (IarPLS).
iasls	Fits the baseline using the improved asymmetric least squares (IAsLS) algorithm.
lsrpls	Locally Symmetric Reweighted Penalized Least Squares (LSRPLS).
psalsa	Peaked Signal's Asymmetric Least Squares Algorithm (psalsa).