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friendly
heplots:Visualizing Hypothesis Tests in Multivariate Linear Models
Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Maintained by Michael Friendly. Last updated 5 days ago.
linear-hypothesesmatricesmultivariate-linear-modelsplotrepeated-measure-designsvisualizing-hypothesis-tests
9 stars 11.78 score 1.1k scripts 7 dependents
alexeckert
parallelDist:Parallel Distance Matrix Computation using Multiple Threads
A fast parallelized alternative to R's native 'dist' function to calculate distance matrices for continuous, binary, and multi-dimensional input matrices, which supports a broad variety of 41 predefined distance functions from the 'stats', 'proxy' and 'dtw' R packages, as well as user- defined functions written in C++. For ease of use, the 'parDist' function extends the signature of the 'dist' function and uses the same parameter naming conventions as distance methods of existing R packages. The package is mainly implemented in C++ and leverages the 'RcppParallel' package to parallelize the distance computations with the help of the 'TinyThread' library. Furthermore, the 'Armadillo' linear algebra library is used for optimized matrix operations during distance calculations. The curiously recurring template pattern (CRTP) technique is applied to avoid virtual functions, which improves the Dynamic Time Warping calculations while the implementation stays flexible enough to support different DTW step patterns and normalization methods.
Maintained by Alexander Eckert. Last updated 3 years ago.
data-sciencedistance-computationsmatricesopenblascpp
51 stars 9.92 score 432 scripts 14 dependents
bgreenwell
ramify:Additional Matrix Functionality
Additional matrix functionality for R including: (1) wrappers for the base matrix function that allow matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (2) better printing of large matrices via the generic "pretty" print function, and (3) a number of convenience functions for users more familiar with other scientific languages like 'Julia', 'Matlab'/'Octave', or 'Python'+'NumPy'.
Maintained by Brandon Greenwell. Last updated 8 years ago.
3 stars 6.32 score 154 scripts 3 dependents
anespinosa
netmem:Social Network Measures using Matrices
Measures to describe and manipulate networks using matrices.
Maintained by Alejandro Espinosa-Rada. Last updated 17 days ago.
matricesmultilayer-networksnetwork-analysisnetwork-sciencesnasocial-networksocial-network-analysissociology
11 stars 4.33 score 13 scripts
geobosh
mcompanion:Objects and Methods for Multi-Companion Matrices
Provides a class for multi-companion matrices with methods for arithmetic and factorization. A method for generation of multi-companion matrices with prespecified spectral properties is provided, as well as some utilities for periodically correlated and multivariate time series models. See Boshnakov (2002) <doi:10.1016/S0024-3795(01)00475-X> and Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>.
Maintained by Georgi N. Boshnakov. Last updated 1 years ago.
eigen-vector-decompositionmatricesperiodictime-series
4.05 score 37 scripts 2 dependents
tinyheero
cofeatureR:Generate Cofeature Matrices
Generate cofeature (feature by sample) matrices. The package utilizes ggplot2::geom_tile() to generate the matrix allowing for easy additions from the base matrix.
Maintained by Fong Chun Chan. Last updated 7 years ago.
cofeature-matricesggplot2matrices
2.70 score 2 scripts