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:	0.3.6
Depends:	R (≥ 3.5.0)
Imports:	car, forecast, zoo, regclass, olsrr, stats, lmtest, graphics, nlme, ggplot2, tseries, gridExtra, utils, rlang, xts, writexl, mFilter, nortest, goftest, cli
Suggests:	knitr, rmarkdown, roxygen2
Published:	2024-09-06
DOI:	10.32614/CRAN.package.AFR
Author:	Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut], Sultan Zhaparov [aut, cre]
Maintainer:	Sultan Zhaparov <saldau.sultan at gmail.com>
License:	GPL-2
Copyright:	The Agency of the Republic of Kazakhstan for Regulation and Development of Financial Market (ARDFM)
NeedsCompilation:	no
SystemRequirements:	C++
Materials:	README
CRAN checks:	AFR results

Documentation:

Reference manual:	AFR.pdf
Vignettes:	Data-transformation (source, R code) Diagnostic-tests (source, R code) Regression-model (source, R code)

Downloads:

Package source:	AFR_0.3.6.tar.gz
Windows binaries:	r-devel: AFR_0.3.6.zip, r-release: AFR_0.3.6.zip, r-oldrel: AFR_0.3.6.zip
macOS binaries:	r-release (arm64): AFR_0.3.6.tgz, r-oldrel (arm64): AFR_0.3.6.tgz, r-release (x86_64): AFR_0.3.6.tgz, r-oldrel (x86_64): AFR_0.3.6.tgz
Old sources:	AFR archive

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