Package: AFR 0.3.9

AFR: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data

Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. The package includes functions from existing R packages adapted for banking sector of Kazakhstan. The purpose of the package is to optimize statistical functions for easier interpretation for bank analysts and non-statisticians. The package also provides helper functions for loading an insurance scoring dataset, a past case competition dataset for insurance risk scoring and fair pricing.

Authors:Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut], Sultan Zhaparov [aut, cre]

AFR_0.3.9.tar.gz
AFR_0.3.9.zip(r-4.7-any)AFR_0.3.9.zip(r-4.6-any)AFR_0.3.9.zip(r-4.5-any)
AFR_0.3.9.tgz(r-4.6-any)AFR_0.3.9.tgz(r-4.5-any)
AFR_0.3.9.tar.gz(r-4.7-any)AFR_0.3.9.tar.gz(r-4.6-any)
AFR_0.3.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AFR/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.09 score 31 scripts 587 downloads 24 exports 105 dependencies

Last updated from:0294d79e9b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK144
source / vignettesOK504
linux-releaseOK145
macos-releaseOK212
macos-oldrelOK145
windows-develOK112
windows-releaseOK138
windows-oldrelOK111
wasm-releaseOK137

Exports:bgbpcheck_betascheckdatacorseldec_plotdiffloggqHPload_ogpo_data_dictionaryload_ogpo_datasetload_ogpo_test_finalload_ogpo_test_with_targetload_ogpo_trainols_test_normalityopt_sizepct1pct4pt_multipt_onereg_plotreg_testregsel_fvif_reg

Dependencies:abindarrowassertthatbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclicolorspacecommonmarkcowplotcpp11curlDerivdigestdoBydplyrfarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegoftestgridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrnlmenloptrnnetnortestnumDerivolsrrotelpbkrtestpillarpkgconfigpromisespurrrquadprogquantmodquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sassscalesshinysourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxplorerrxtablextszoo

OGPO Insurance Scoring Dataset
title: "OGPO Insurance Scoring Dataset"output: rmarkdown::html_vignettevignette: >%\VignetteIndexEntry | Overview | Available loading functions | Training dataset | Test dataset with target | Final scoring dataset | Data dictionary | Local cache | CRAN note
Rendered fromOGPO-insurance-scoring.Rmdusingknitr::rmarkdown

Last update: 2026-06-21
Started: 2026-06-21

Diagnostic-tests
Introduction | Heteroskedasticity | Breusch-Pagan Test | Goldfeld-Quandt Test | Non-collinearity | VIF Test | Durbin-Watson Test | Breusch-Godfrey Test | Normality | Shapiro-Wilk statistic | Kolmogorov-Smirnov statistic | Cramer-Von Mises test | Anderson test
Rendered fromDiagnostic-tests.Rmdusingknitr::rmarkdown

Last update: 2023-10-29
Started: 2022-03-21

Regression-model
Introduction | 1. Optimal size of the time-series data | 2. Choose the best regression model | 3. Analysis of the model
Rendered fromRegression-model.Rmdusingknitr::rmarkdown

Last update: 2023-10-29
Started: 2022-03-21

Data-transformation
Introduction | Step 1 | Step 2 | Step 3 | Step 4
Rendered fromData-transformation.Rmdusingknitr::rmarkdown

Last update: 2023-03-30
Started: 2022-10-11