Package: misspi 0.1.1

misspi: Missing Value Imputation in Parallel

A framework that boosts the imputation of 'missForest' by Stekhoven, D.J. and Bühlmann, P. (2012) <doi:10.1093/bioinformatics/btr597> by harnessing parallel processing and through the fast Gradient Boosted Decision Trees (GBDT) implementation 'LightGBM' by Ke, Guolin et al.(2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. 'misspi' has the following main advantages: 1. Allows embrassingly parallel imputation on large scale data. 2. Accepts a variety of machine learning models as methods with friendly user portal. 3. Supports multiple initializations methods. 4. Supports early stopping that prohibits unnecessary iterations.

Authors:Zhongli Jiang [aut, cre]

misspi_0.1.1.tar.gz
misspi_0.1.1.zip(r-4.7-any)misspi_0.1.1.zip(r-4.6-any)misspi_0.1.1.zip(r-4.5-any)
misspi_0.1.1.tgz(r-4.6-any)misspi_0.1.1.tgz(r-4.5-any)
misspi_0.1.1.tar.gz(r-4.7-any)misspi_0.1.1.tar.gz(r-4.6-any)
misspi_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
misspi/json (API)

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

Bug tracker:https://github.com/catstats/misspi/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 247 downloads 3 exports 83 dependencies

Last updated from:2cd288b71a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK160
source / vignettesOK201
linux-releaseOK155
macos-releaseOK126
macos-oldrelOK193
windows-develOK126
windows-releaseOK113
windows-oldrelOK106
wasm-releaseOK121

Exports:evaliqmissarmisspi

Dependencies:askpassbase64encbslibcachemclicodetoolscpp11crosstalkcurldata.tabledigestdoParalleldoSNOWdplyrevaluatefarverfastmapfontawesomeforeachfsgcdnetgenericsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelightgbmmagrittrMatrixmemoisemimemsaenetmvtnormncvregnnetopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownS7sassscalesshapeSISsnowstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml