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AFR
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]
[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 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited AFR R package
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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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