Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

This package implements analytical methods for multidimensional plant traits, including Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits, Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and Trait Network analysis. Provides functions for data analysis, visualization, and network metrics calculation. Methods are based on Grime (1974) <doi:10.1038/250026a0>, Pierce et al. (2017) <doi:10.1111/1365-2435.12882>, Westoby (1998) <doi:10.1023/A:1004327224729>, Yang et al. (2022) <doi:10.1016/j.foreco.2022.120540>, Winemiller et al. (2015) <doi:10.1111/ele.12462>, He et al. (2020) <doi:10.1016/j.tree.2020.06.003>.

Two method new of multigroup and simulation of data. The first technique called multigroup PCA (mgPCA) this multivariate exploration approach that has the idea of considering the structure of groups and / or different types of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality Reduction (MDR) it is another multivariate exploration method that is based on projections. In addition, a method called Single Dimension Exploration (SDE) was incorporated for to analyze the exploration of the data. It could help us in a better way to observe the behavior of the multigroup data with certain variables of interest.

qr_mumps is a software package for the solution of sparse, linear systems on multicore computers based on the QR factorization of the input matrix. Therefore, it is suited to solving sparse least-squares problems and to computing the minimum-norm solution of sparse, underdetermined problems. It can obviously be used for solving square problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization. qr_mumps supports real and complex, single or double precision arithmetic. This is an experimental version of the package for distributed memory.

This package contains the Mus.musculus object to access data from several related annotation packages.

Xorg mutt-misc fonts.

This package provides install functions of other languages such as java', python'.

Platform Design Info for The Manufacturer's Name Mu11KsubB.

Platform Design Info for The Manufacturer's Name Mu11KsubA.

MultiXml provides swappable XML backends utilizing either LibXML, Nokogiri, Ox, or REXML.

This package provides a package containing an environment representing the Mu19KsubC.CDF file.

This package provides a package containing an environment representing the Mu11KsubB.CDF file.

This package provides a package containing an environment representing the Mu11KsubA.CDF file.

This package provides a package containing an environment representing the Mu19KsubA.CDF file.

This package provides a package containing an environment representing the Mu19KsubB.CDF file.

Affymetrix Affymetrix Mu19KsubC Array annotation data (chip mu19ksubc) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubB Array annotation data (chip mu19ksubb) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubA Array annotation data (chip mu11ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubA Array annotation data (chip mu19ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubB Array annotation data (chip mu11ksubb) assembled using data from public repositories.

This is a class file for writing MA thesis as required by the Department of Linguistics at the University of Mumbai.

MUcomplete is an implementation of chained (fallback) completion, whereby several completion methods are attempted one after another until a result is returned.

This package provides a backend-agnostic extension for HTTP libraries that provides support for POST multipart/form-data requests on both client and server.

This package provides a backend-agnostic extension for HTTP libraries that provides support for POST multipart/form-data requests on both client and server.