Package: varEst 0.1.0

Sayanti Guha Majumdar

varEst: Variance Estimation

Error variance estimation in ultrahigh dimensional datasets with four different methods, viz. Refitted cross validation, k-fold refitted cross validation, Bootstrap-refitted cross validation, Ensemble method.

Authors:Sayanti Guha Majumdar, Anil Rai, Dwijesh Chandra Mishra

varEst_0.1.0.tar.gz
varEst_0.1.0.zip(r-4.7-any)varEst_0.1.0.zip(r-4.6-any)
varEst_0.1.0.tar.gz(r-4.7-any)varEst_0.1.0.tar.gz(r-4.6-any)
varEst_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
varEst/json (API)

# Install 'varEst' in R:
install.packages('varEst', 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 1 stars 1 scripts 256 downloads 4 exports 78 dependencies

Last updated from:c4bd638fbc. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK157
source / vignettesOK201
linux-releaseOK151
windows-develOK110
windows-releaseOK85
wasm-releaseOK103

Exports:bsrcvensemblekrcvrcv

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlm.betalubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartS7SAMscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxtable