Package: withinr 0.1.0

Alexander Fischer

withinr: High-Performance Fixed Effects Solver

Fast modified LSMR solvers with Schwarz and diagonal preconditioners for absorbing high-dimensional fixed effects in panel data regressions. The computational core is written in Rust via version 0.2.0 of the 'within' crate and accessed through 'extendr'.

Authors:Alexander Fischer [aut, cre], Kristof Schroeder [aut]

withinr_0.1.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
withinr/json (API)

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

Bug tracker:https://github.com/py-econometrics/within/issues

On CRAN:

Conda:

rustcargo

3.86 score 12 stars 12 exports 0 dependencies

Last updated from:1c1b0cb2c3 (on r-bindings). Checks:8 OK, 4 NOTE, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK183
linux-devel-x86_64OK222
source / vignettesOK288
linux-release-arm64OK172
linux-release-x86_64OK185
macos-release-arm64NOTE293
macos-release-x86_64NOTE584
macos-oldrel-arm64OK287
macos-oldrel-x86_64OK533
windows-devel-arm64FAIL350
windows-devel-x86_64NOTE344
windows-release-arm64FAIL346
windows-release-x86_64NOTE336
windows-oldrel-x86_64OK273
wasm-releaseFAIL113

Exports:AdditiveSchwarzApproxCholConfigApproxSchurConfigLocalSolverConfiglsmr_optionsLsmrOptionsPreconditionerPreconditionerConfigReductionStrategysolvesolve_batchSolver

Dependencies: