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.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: car, forecast, zoo, regclass, olsrr, stats, lmtest, graphics, tseries, nlme, ggplot2, gridExtra, utils, rlang, xts, writexl, mFilter
Suggests: knitr, rmarkdown, roxygen2
Published: 2022-03-21
Author: Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut, cre]
Maintainer: Alua Makhmetova <alua.makhmetova at gmail.com>
License: GPL-2
Copyright: The Agency of the Republic of Kazakhstan for Regulation and Development of Financial Market (ARDFM)
NeedsCompilation: no
CRAN checks: AFR results

Documentation:

Reference manual: AFR.pdf
Vignettes: Data-tranformation
Diagnostic-tests
Regression-model

Downloads:

Package source: AFR_0.1.0.tar.gz
Windows binaries: r-devel: AFR_0.1.0.zip, r-release: AFR_0.1.0.zip, r-oldrel: AFR_0.1.0.zip
macOS binaries: r-release (arm64): AFR_0.1.0.tgz, r-release (x86_64): AFR_0.1.0.tgz, r-oldrel: AFR_0.1.0.tgz

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