Package: maotai 0.3.0

maotai: Tools for Matrix Algebra, Optimization and Inference

Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).

Authors:Kisung You [aut, cre]

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manual.pdf |manual.html✨
card.svg |card.png
maotai/json (API)
NEWS

# Install 'maotai' in R:
install.packages('maotai', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kisungyou/maotai/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

6.13 score 8 stars 9 packages 24 scripts 1.0k downloads 37 exports 21 dependencies

Last updated from:ba5f93f503. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK216
linux-devel-x86_64OK226
source / vignettesOK303
linux-release-arm64OK259
linux-release-x86_64OK219
macos-release-arm64OK190
macos-release-x86_64OK458
macos-oldrel-arm64OK134
macos-oldrel-x86_64OK254
windows-develOK568
windows-releaseOK502
windows-oldrelOK503
wasm-releaseOK179

Exports:bmdsboot.mblockboot.stationarybwprojcayleymengercheckdistcheckmetriccmdscov2corrcov2pcorrdpmeansecdfdistecdfdist2ecdfdistSepmeanskmeansppLEiDAlyapunovmatderivmetricdepthmmd2testmovMF_convertmovMF_infomovMF_reduce_greedymovMF_reduce_partitionalnefnempdeterminantrotationS2shortestpathsylvestertriotsneweiszfeldWLbarycenterWLmedianWLpdist

Dependencies:clusterdbscanfastclustergenericsgsignallabdsvlatticeMASSMatrixmgcvnlmepracmaRANNrbibutilsRcppRcppArmadilloRcppDistRcppEigenRdpackRSpectraRtsne

Readme and manuals

Help Manual

Help pageTopics
Bayesian Multidimensional Scalingbmds
Generate Index for Moving Block Bootstrappingboot.mblock
Generate Index for Stationary Bootstrappingboot.stationary
Bures-Wasserstein Projectionbwproj
Cayley-Menger Determinantcayleymenger
Check for Distance Matrixcheckdist
Check for Metric Matrixcheckmetric
Classical Multidimensional Scalingcmds
Convert Covariance into Correlation Matrixcov2corr
Convert Covariance into Partial Correlation Matrixcov2pcorr
DP-means Algorithm for Clustering Euclidean Datadpmeans
Distance Measures between Multiple Empirical Cumulative Distribution Functionsecdfdist
Pairwise Measures for Two Sets of Empirical CDFsecdfdist2
Distance Measures between Samples through Empirical Cumulative Distribution FunctionsecdfdistS
EP-means Algorithm for Clustering Empirical Distributionsepmeans
K-Means++ Clustering Algorithmkmeanspp
Leading Eigenvector Dynamics AnalysisLEiDA
Solve Lyapunov Equationlyapunov
Numerical Approximation to Gradient of a Function with Matrix Argumentmatderiv
Metric Depthmetricdepth
Kernel Two-sample Test with Maximum Mean Discrepancymmd2test
Convert 'movMF' objectmovMF_convert
Extract meaningful information from the von Mises-Fisher mixture modelmovMF_info
von Mises-Fisher mixture model reduction - Greedy methodmovMF_reduce_greedy
von Mises-Fisher mixture model reduction - partitional methodmovMF_reduce_partitional
Negative Eigenfractionnef
Negative Eigenvalue Magnitudenem
Calculate the Pseudo-Determinant of a Matrixpdeterminant
Compute a Rotation on the 2-dimensional SphererotationS2
Find Shortest Path using Floyd-Warshall Algorithmshortestpath
Solve Sylvester Equationsylvester
Trace Ratio Optimationtrio
t-SNE Embeddingtsne
Weiszfeld Algorithm for Computing L1-medianweiszfeld
Barycenter of vMF Distributions Under a Wasserstein-Like GeometryWLbarycenter
Geometric Median of vMF Distributions Under a Wasserstein-Like GeometryWLmedian
Pairwise Wasserstein-like Distance between two vMF distributionsWLpdist