Package: dbMC 1.0.0

dbMC: Confidence Interval for Matrix Completion via De-Biased Estimator

Implements the de-biased estimator for low-rank matrix completion and provides confidence intervals for entries of interest. See: by Chen et al. (2019) <doi:10.1073/pnas.1910053116>, Mai (2021) <arxiv:2103.11749>.

Authors:The Tien Mai [aut, cre]

dbMC_1.0.0.tar.gz
dbMC_1.0.0.zip(r-4.5)dbMC_1.0.0.zip(r-4.4)dbMC_1.0.0.zip(r-4.3)
dbMC_1.0.0.tgz(r-4.4-any)dbMC_1.0.0.tgz(r-4.3-any)
dbMC_1.0.0.tar.gz(r-4.5-noble)dbMC_1.0.0.tar.gz(r-4.4-noble)
dbMC_1.0.0.tgz(r-4.4-emscripten)dbMC_1.0.0.tgz(r-4.3-emscripten)
dbMC.pdf |dbMC.html
dbMC/json (API)

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

Peer review:

Bug tracker:https://github.com/tienmt/dbmc/issues

On CRAN:

3.70 score 2 scripts 166 downloads 2 exports 3 dependencies

Last updated 3 years agofrom:c5aa376b4b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winNOTENov 20 2024
R-4.5-linuxNOTENov 20 2024
R-4.4-winNOTENov 20 2024
R-4.4-macNOTENov 20 2024
R-4.3-winNOTENov 20 2024
R-4.3-macNOTENov 20 2024

Exports:CI_mcdbmc

Dependencies:latticeMatrixsoftImpute

introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-07-16
Started: 2021-07-16