Package: maotai 0.2.6

Kisung You

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]

maotai_0.2.6.tar.gz
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maotai.pdf |maotai.html✨
maotai/json (API)
NEWS

# Install 'maotai' in R:
install.packages('maotai', repos = c('https://cran.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

3.13 score 9 packages 728 downloads 34 exports 52 dependencies

Last updated 15 days agofrom:3faa3cb91e. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 27 2025
R-4.5-linux-x86_64OKFeb 27 2025

Exports:bmdsboot.mblockboot.stationarycayleymengercheckdistcheckmetriccmdscov2corrcov2pcorrdpmeansecdfdistecdfdist2epmeanskmeanspplgpalyapunovmatderivmetricdepthmmd2testmovMF_convertmovMF_infomovMF_reduce_greedymovMF_reduce_partitionalnefnempdeterminantrotationS2shortestpathsylvestertriotsneweiszfeldWLbarycenterWLpdist

Dependencies:base64encbslibcachemcliclusterdbscandigestevaluatefastclusterfastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlabdsvlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminpack.lmnlmepracmaR6RANNrappdirsrbibutilsRcppRcppArmadilloRcppDistRcppEigenRdpackrglrlangrmarkdownRSpectraRtsnesassscatterplot3dshapestinytexxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Bayesian Multidimensional Scalingbmds
Generate Index for Moving Block Bootstrappingboot.mblock
Generate Index for Stationary Bootstrappingboot.stationary
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
EP-means Algorithm for Clustering Empirical Distributionsepmeans
K-Means++ Clustering Algorithmkmeanspp
Large-scale Generalized Procrustes Analysislgpa
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
Pairwise Wasserstein-like Distance between two vMF distributionsWLpdist