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AFR  

Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
View on CRAN: Click here


Download and install AFR package within the R console
Install from CRAN:
install.packages("AFR")

Install from Github:
library("remotes")
install_github("cran/AFR")

Install by package version:
library("remotes")
install_version("AFR", "0.3.6")



Attach the package and use:
library("AFR")
Maintained by
Sultan Zhaparov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-21
Latest Update: 2023-03-30
Description:
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.
How to cite:
Sultan Zhaparov (2022). AFR: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data. R package version 0.3.6, https://cran.r-project.org/web/packages/AFR. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-03-21 20:00), 0.2.0 (2022-10-11 14:32), 0.2.1 (2022-10-11 17:52), 0.3.4 (2023-03-30 09:00), 0.3.5 (2023-10-29 14:40)
Other packages that cited AFR R package
View AFR citation profile
Other R packages that AFR depends, imports, suggests or enhances
Complete documentation for AFR
Functions, R codes and Examples using the AFR R package
Some associated functions: HP . adf . bg . bp . check_betas . checkdata . corsel . dec_plot . difflog . finratKZ . gq . macroKZ . ols_test_normality . opt_size . pct1 . pct4 . pt_multi . pt_one . reg_plot . reg_test . regsel_f . vif_reg . 
Some associated R codes: HP.R . adf.R . bg.R . bp.R . check_betas.R . checkdata.R . corsel.R . dec_plot.R . diff.R . finratKZ.R . gq.R . macroKZ.R . ols_test_normality.R . opt_size.R . print.R . pt_multi.R . pt_one.R . reg_plot.R . reg_test.R . regsel_f.R . vif_reg.R . zzz.R .  Full AFR package functions and examples
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