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'))

Peer review:

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 149 downloads 4 exports 80 dependencies

Last updated 5 years agofrom:c4bd638fbc. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:bsrcvensemblekrcvrcv

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlm.betalubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartSAMscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxtable