Package: alookr 0.5.0

alookr: Model Classifier for Binary Classification

A collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.

Authors:Choonghyun Ryu [aut, cre]

alookr_0.5.0.tar.gz
alookr_0.5.0.zip(r-4.7-any)alookr_0.5.0.zip(r-4.6-any)alookr_0.5.0.zip(r-4.5-any)
alookr_0.5.0.tgz(r-4.6-any)alookr_0.5.0.tgz(r-4.5-any)
alookr_0.5.0.tar.gz(r-4.6-any)
alookr_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
alookr/json (API)

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

Bug tracker:https://github.com/choonghyunryu/alookr/issues

Pkgdown/docs site:https://choonghyunryu.github.io

On CRAN:

Conda:

5.90 score 12 stars 11 scripts 622 downloads 17 exports 147 dependencies

Last updated from:522b46729f. Checks:2 FAIL, 2 OK, 5 NOTE. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64FAIL3751
source / vignettesOK346
linux-release-x86_64FAIL3759
macos-release-arm64NOTE169
macos-oldrel-arm64NOTE139
windows-develNOTE130
windows-releaseNOTE137
windows-oldrelNOTE151
wasm-releaseOK157

Exports:cleansecompare_diagcompare_performancecompare_plotcompare_target_categorycompare_target_numericextract_setmatthewsperformance_metricplot_cutoffplot_performancerun_modelsrun_performancerun_predictsampling_targetsplit_bytreatment_corr

Dependencies:AsioHeadersbackportsbase64encbitbit64bitopsbookdownbootbroombslibcachemcaToolsclicliprcodetoolscoincommonmarkcpp11crayondata.tabledigestdlookrdplyrevaluatefarverfastmapfontawesomeforcatsforeachfsfuturegenericsggplot2glmnetglobalsgluegplotsgridExtragtablegtoolshavenhighrhmshtmltoolshtmlwidgetshttpuvisobanditeratorsjomojquerylibjsonlitekableExtraKernSmoothknitrlabelinglaterlatticelibcoinlifecyclelistenvlme4magrittrMASSMatrixmatrixStatsmemoisemicemimeminqamitmlMLmetricsmodeltoolsmultcompmvtnormnlmenloptrnnetnumDerivordinalotelpagedownpanparallellypartypillarpkgconfigprettyunitsprocessxprogresspromisespspurrrR6randomForestrangerrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreactablereactRreadrreformulasrlangrmarkdownROCRrpartrstudioapiS7sandwichsassscalesservrshapeshinyshowtextshowtextdbsourcetoolsstringistringrstrucchangesurvivalsvglitesysfontssystemfontstextshapingTH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsviridisLitevroomwebsocketwithrxfunxgboostxml2xtableyamlzoo

Classification Modeling
Preface | How to perform modeling
Rendered frommodeling.Rmdusingknitr::rmarkdown

Last update: 2024-02-25
Started: 2019-12-22

Cleansing the data set
Preface | How to perform cleansing the data set
Rendered fromcleansing.Rmdusingknitr::rmarkdown

Last update: 2024-02-25
Started: 2019-12-22

Introduce alookr
Overview | Install alookr | Usage | How to use alookr package
Rendered fromintroduce.Rmdusingknitr::rmarkdown

Last update: 2024-02-25
Started: 2021-11-30

Splitting the data set
Preface | How to perform split the data
Rendered fromsplit.Rmdusingknitr::rmarkdown

Last update: 2024-02-25
Started: 2019-12-22