- Additions:
- latest commit #9386ed56
- [#a28a119b] add release notes build target
- Bugfixes:
- [#8060b68a] Fix index errors on ommitted rows + ommitted cols formatting
- Tests
- [#8a559f56] Add int Matrix formatting tests
- Additions:
- Bugfixes:
- Tests:
- Documentation:
- Additions:
- Improvements:
- Additions:
- Additions:
- Bugfixes:
- Additions:
- Bugfixes:
- Additions:
- latest commit #e699171
- [#1138ef6] update docs generation workflow
- [#f8c2ed9] add binder links to all docs
- [#e5a98bb] update altcover and switch to lcov coverage format
- [#80c89d0] add generic Seq.cov functions based on Vector.cov.
- [#8c82d85] add deseq2 medianOfRatios normalization
- [#eba03f3] add ZScore calculations
- update clustering, basic stats, and distribution documentation
- Deletions:
- [#e855845] remove unnecessary doc files
- Bugfixes:
- [#46d203e] fix Matrix.meanRowWise #119
The documentation and unit tests have been extended.
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FSharp.Stats
- latest commit #c76af47
- Modernization of build and CI chains
- Additional functionalities:
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FSharp.Stats.Lapack
-
FSharp.Stats.MSF
Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.
Version bump to 0.3.0
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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
- Studentized range distribution
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FSharp.Stats.Lapack
- no changes
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FSharp.Stats.MSF
- Modularization of temporal classification module
- Additional functionalities:
First nuget pre-release package.
Version bump to 0.2.1-beta.
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FSharp.Stats
- no changes
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FSharp.Stats.Lapack
- no changes
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FSharp.Stats.MSF
- no changes
Additions, improvements and bugfixes in multiple namespaces. The documentation has been extended.
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FSharp.Stats.Fitting
- Additional functionalities:
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FSharp.Stats.ML
- Namespace typo fix for GapStatistics. Watch out if using older versions.
- Additional functionalities:
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FSharp.Stats.MSF
- Additional functionalities:
Several bugfixes and additions to multiple namespaces. The documentation and unit tests have been extended.
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FSharp.Stats (core)
- Additional functionalities:
- Sparse Matrix initialization
- Sparse Matrix multiplication replaced implementation to gain performance
- Sparse Matrix QR decomposition
- Spectral matrix norm
- Generalized weighted pearson correlation
- Additional functionalities:
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FSharp.Stats.Fitting
- Additional functionalities:
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FSharp.Stats.Signal
- Additional functionalities:
- Estimate optimal window width for savitzky golay filters
- BaselineALS' internal use of sparse matrices to increase performance
- Additional functionalities:
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FSharp.Stats.ML
- Additional functionalities:
- Set similarity measures
- Energy landscape plot to SA
- GapStatistics assists cluster number optimization
- Additional functionalities:
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:
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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:
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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:
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FSharp.Stats.Integration
- Additional functionality:
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FSharp.Stats.Algebra
- Additional functionality:
- Calculation of the nullpace of a matrix based on SVD
- Additional functionality:
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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):
- PCA
- Fix pValueAdjust
- Fix median
- Bump version to 0.0.11
- Initial release