0.4.0 - Tuesday. December 15, 2020
The documentation and unit tests have been extended.
- FSharp.Stats
- FSharp.Stats.Lapack
- FSharp.Stats.MSF
0.3.0-beta - Friday, October 9, 2020
Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.
Version bump to 0.3.0
-
FSharp.Stats
- Improvement of gap statistics performance
- Bug fixes:
-
Additional functionalities:
- Silhouette index for cluster number determination
- Extend range support for hypergeometric distribution
- getCriticalTValue function
- Confidence and prediction bands for simple linear regression
- Shuffle and split cross validation
- Generic version of leave one out cross validation
- Constrained simple linear regression
- Distribution distance metrices
- Confidence intervals
- SEM (Standard error of the mean)
- Growth curve fitting
- One sample t test
- Hierarchical clustering aggregation
- F test
- Fishers LSD
- H test
-
FSharp.Stats.Lapack
- no changes
-
FSharp.Stats.MSF
- Modularization of temporal classification module
- Additional functionalities:
0.2.1-beta - Monday, February 17, 2020
First nuget pre-release package.
Version bump to 0.2.1-beta.
-
FSharp.Stats
- no changes
-
FSharp.Stats.Lapack
- no changes
-
FSharp.Stats.MSF
- no changes
0.2.0 - Friday, February 14, 2020
Additions, improvements and bugfixes in multiple namespaces. The documentation has been extended.
-
FSharp.Stats.Fitting
- Additional functionalities:
- Nonlinear regression models for logistic functions
-
FSharp.Stats.ML
- Namespace typo fix for GapStatistics. Watch out if using older versions.
- Additional functionalities:
-
FSharp.Stats.MSF
- Additional functionalities:
0.1.1 - Thursday, November 7, 2019
Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.
-
FSharp.Stats (core)
- Additional functionalities:
Sparse Matrix multiplication replaced implementation to gain performance
-
FSharp.Stats.Fitting
- Additional functionalities:
Levenberg Marquardt implementation supporting box constrains
-
FSharp.Stats.Signal
- Additional functionalities:
BaselineALS' internal use of sparse matrices to increase performance
-
FSharp.Stats.ML
-
Additional functionalities:
GapStatistics assists cluster number optimization
-
0.1.0 - Wednesday, July 3, 2019
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):
0.0.14 - Friday, April 12, 2019
- PCA #### 0.0.13 - Wednesday, December 12, 2018
- Fix pValueAdjust #### 0.0.12 - Tuesday, December 11, 2018
- Fix median #### 0.0.11 - Monday, December 10, 2018
- Bump version to 0.0.11 #### 0.0.1 - Tuesday, July 3, 2018
- Initial release
