Package: smrlasso 1.0

Michail Tsagris

smrlasso: LASSO Spatial Median Regression

Penalized spatial median regression using LASSO. The iteratively reweighted least squares algorithm is used to solve the spatial median regression problem and weighted LASSO is employed.

Authors:Michail Tsagris [aut, cre]

smrlasso_1.0.tar.gz
smrlasso_1.0.zip(r-4.7-any)smrlasso_1.0.zip(r-4.6-any)
smrlasso_1.0.tar.gz(r-4.7-any)smrlasso_1.0.tar.gz(r-4.6-any)
smrlasso_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
smrlasso/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 459 downloads 2 exports 95 dependencies

Last updated from:25bdb5e280. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK174
source / vignettesOK245
linux-releaseOK173
windows-develOK186
windows-releaseOK136
wasm-releaseOK174

Exports:cv.smrlassosmr.lasso

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg