Showing 9 of total 9 results (show query)
r-forge
Matrix:Sparse and Dense Matrix Classes and Methods
A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Maintained by Martin Maechler. Last updated 20 days ago.
1 stars 17.23 score 33k scripts 12k dependents
rudjer
SparseM:Sparse Linear Algebra
Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
Maintained by Roger Koenker. Last updated 9 months ago.
3 stars 11.47 score 306 scripts 1.5k dependents
reinhardfurrer
spam:SPArse Matrix
Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Maintained by Reinhard Furrer. Last updated 2 months ago.
1 stars 9.36 score 420 scripts 439 dependents
bioc
qpgraph:Estimation of Genetic and Molecular Regulatory Networks from High-Throughput Genomics Data
Estimate gene and eQTL networks from high-throughput expression and genotyping assays.
Maintained by Robert Castelo. Last updated 2 days ago.
microarraygeneexpressiontranscriptionpathwaysnetworkinferencegraphandnetworkgeneregulationgeneticsgeneticvariabilitysnpsoftwareopenblas
3 stars 8.72 score 20 scripts 3 dependents
r-cas
caracas:Computer Algebra
Computer algebra via the 'SymPy' library (<https://www.sympy.org/>). This makes it possible to solve equations symbolically, find symbolic integrals, symbolic sums and other important quantities.
Maintained by Mikkel Meyer Andersen. Last updated 28 days ago.
24 stars 6.80 score 87 scripts 1 dependents
shabbychef
madness:Automatic Differentiation of Multivariate Operations
An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.
Maintained by Steven E. Pav. Last updated 4 years ago.
31 stars 6.59 score 28 scripts 3 dependents
mlysy
SuperGauss:Superfast Likelihood Inference for Stationary Gaussian Time Series
Likelihood evaluations for stationary Gaussian time series are typically obtained via the Durbin-Levinson algorithm, which scales as O(n^2) in the number of time series observations. This package provides a "superfast" O(n log^2 n) algorithm written in C++, crossing over with Durbin-Levinson around n = 300. Efficient implementations of the score and Hessian functions are also provided, leading to superfast versions of inference algorithms such as Newton-Raphson and Hamiltonian Monte Carlo. The C++ code provides a Toeplitz matrix class packaged as a header-only library, to simplify low-level usage in other packages and outside of R.
Maintained by Martin Lysy. Last updated 2 months ago.
2 stars 5.60 score 33 scripts 2 dependents
mbertolacci
WoodburyMatrix:Fast Matrix Operations via the Woodbury Matrix Identity
A hierarchy of classes and methods for manipulating matrices formed implicitly from the sums of the inverses of other matrices, a situation commonly encountered in spatial statistics and related fields. Enables easy use of the Woodbury matrix identity and the matrix determinant lemma to allow computation (e.g., solving linear systems) without having to form the actual matrix. More information on the underlying linear algebra can be found in Harville, D. A. (1997) <doi:10.1007/b98818>.
Maintained by Michael Bertolacci. Last updated 2 years ago.
3 stars 4.22 score 11 scripts
