Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related...
Classes for data manipulation and statistical computation, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix...
The GPU-accelerated version of package CenterSpace.NMath.Stats. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Stats.Premium and CenterSpace.NMath.Stats.
- arbitrary precision rational numbers
Matrix algebra (integer, rational):
- Row echelon form
- Smith normal form
- Kernel, cokernel and (pseudo-)inverse
Matrix decomposition (floating point):
- Principal component analysis (PCA)...