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:

5.76 score 12 stars 12 scripts 637 downloads 17 exports 147 dependencies

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

TargetResultTimeFilesSyslog
linux-develFAIL3744
source / vignettesOK229
linux-releaseFAIL3732
macos-releaseNOTE229
macos-oldrelNOTE133
windows-develNOTE143
windows-releaseNOTE121
windows-oldrelNOTE139
wasm-releaseOK139

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