release 0.1.0
Pre-release
Pre-release
Several bugfixes and additions to multiple namespaces:
-
FSharp.Stats (core)
- Additional functionalities:
- Matrix FSI printer for increasing convenience when working with matrices
- Biweight midcorrelation for sequences, vectors and matrices
- Bug fixes:
- Additional functionalities:
-
FSharp.Stats.Fitting
- Additional functionalities:
- Weighted polynomial least squares fitting to cope with heteroscedacity
- Adjusted coefficient of determination to incorporate the number of required variables
- Leave-out-one cross validation
- Exponential fit model in non-linear regression
- Theil-Sen estimator for robust linear regression
- Weighted pearson correlation to cope with heteroscedacity
- Calculate derivatives for polynomial regression
- Additional functionalities:
-
FSharp.Stats.Interpolation
- Additional functionalities:
- Polynomial interpolation
- Cubic spline interpolating with several boundary conditions
- Cubic Hermite spline with simple slope estimator
- Get monotonicity slopes that if possible fit an monotone interpolating cubic spline
- Calculate derivatives for interpolating polynomials and interpolating cubic splines
- Additional functionalities:
-
FSharp.Stats.Integration
- Additional functionality:
-
FSharp.Stats.Algebra
- Additional functionality:
- Calculation of the nullpace of a matrix based on SVD
- Additional functionality:
-
FSharp.Stats.Signal
- Additional functionalities:
- Ricker wavelet for 2D continuous wavelet transform
- Marr wavelet for 3D continuous wavelet transform
- Signal padding
- Continuous wavelet transform with defaultCWT and discrete CWT
- Additional functionalities:
-
FSharp.Stats.MSF
- Several improvements for Hermite (Temporal Classification):
- commit c0d98de
- add extrema calculation of constrained spline
- add third extrema constraints
- add various weighting methods
- add corrected AIC model selection criterion
- commit c0d98de
- Several improvements for Hermite (Temporal Classification):