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.tar.gz(r-4.5-noble)varEst_0.1.0.tar.gz(r-4.4-noble)
varEst_0.1.0.tgz(r-4.4-emscripten)varEst_0.1.0.tgz(r-4.3-emscripten)
varEst.pdf |varEst.html
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 119 downloads 4 exports 81 dependencies

Last updated 6 years agofrom:c4bd638fbc. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:bsrcvensemblekrcvrcv

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlm.betalubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartSAMscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxtable