Small set of functions to fast computation of some matrices and operations useful in statistics and econometrics. Currently, there are functions for efficient computation of duplication, commutation and symmetrizer matrices with minimal storage requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix operations (for instance, Hadamard, Kronecker products and the ShermanMorrison formula) and iterative solvers for linear systems are also available. In addition, the package includes a number of common statistical procedures such as the sweep operator, weighted mean and covariance matrix using an online algorithm, linear regression (using Cholesky, QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal selection of the ridge parameter considering several procedures), omnibus tests for univariate normality, functions to compute the multivariate skewness, kurtosis, the Mahalanobis distance (checking the positive defineteness), and the WilsonHilferty transformation of gamma variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Package details 


Author  Felipe Osorio [aut, cre] (<https://orcid.org/0000000246755201>), Alonso Ogueda [aut] 
Maintainer  Felipe Osorio <felipe.osorios@usm.cl> 
License  GPL3 
Version  0.5772 
URL  https://faosorios.github.io/fastmatrix/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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