Package: sanic 0.0.2

sanic: Solving Ax = b Nimbly in C++

Routines for solving large systems of linear equations and eigenproblems in R. Direct and iterative solvers from the Eigen C++ library are made available. Solvers include Cholesky, LU, QR, and Krylov subspace methods (Conjugate Gradient, BiCGSTAB). Dense and sparse problems are supported.

Authors:Nikolas Kuschnig [aut, cre], Lukas Vashold [ctb], Yixuan Qiu [ctb]

sanic_0.0.2.tar.gz
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sanic_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sanic/json (API)

# Install 'sanic' in R:

install.packages('sanic', repos = c('https://nk027.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nk027/sanic/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

bicgstab cholesky conjugate-gradient eigen linear-equations solvers cpp

4.43 score 9 stars 2 packages 2 scripts 425 downloads 10 exports 4 dependencies

Last updated from:045c8d6e57. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	180
linux-devel-x86_64	OK	188
source / vignettes	OK	192
linux-release-arm64	OK	183
linux-release-x86_64	OK	235
macos-release-arm64	OK	214
macos-release-x86_64	OK	383
macos-oldrel-arm64	OK	242
macos-oldrel-x86_64	OK	290
windows-devel	OK	189
windows-release	OK	208
windows-oldrel	OK	182
wasm-release	OK	189

Exports:arnoldi eigen2 lanczos solve_cg solve_chol solve_lu solve_qr solve2 sparsify svd2

Dependencies:lattice Matrix Rcpp RcppEigen

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Krylov Subspace Spectral Decomposition	arnoldi lanczos
Spectral Decomposition	eigen2
Solving Ax = b Nimbly in C++	sanic
Solve Systems of Equations Using Iterative Methods	solve_cg
Solve Systems of Equations Using Direct Methods	solve_chol solve_lu solve_qr
Solve Systems of Equations	solve2
Transform a Matrix to Be Sparse.	sparsify
Singular Value Decomposition	svd2