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Description

'shiny' App for National Accounts.

Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly National Accounts data. Users can gain detailed insights into Pakistan's economic performance, visualize quarterly trends, and detect patterns and anomalies in key economic indicators. Compare sector contributions—including agriculture, industry, and services—to understand their influence on economic growth or decline. Customize analyses by filtering and manipulating data to focus on specific areas of interest. Ideal for policymakers, researchers, and analysts aiming to make informed, data-driven decisions based on timely and detailed economic insights.

PakNAcc: Shiny App for National Accounts

Version : 0.1.0; Copyright (C) 2024: License: GPL-2|GPL-3
Muhammad Yaseen1,2, and Zahid Asghar3
  1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
  2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan
  3. School of Economics, Quaid-i-Azam University, Islamabad, Pakistan

minimal Rversion License: GPLv3 CRAN_Status_Badge rstudio mirrordownloads

Project Status:WIP lifecycle Last-changedate ***

Description

Provides tools of analyze National Accounts data.

Installation

The package can be installed from CRAN as follows:

install.packages("PakNAcc", dependencies = TRUE)

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/PakNAcc")

What’s new

To know whats new in this version type:

news(package = "PakNAcc")

Links

Shiny App

CRAN page

Github page

Documentation website

Citing PakNAcc

To cite the methods in the package use:

citation("PakNAcc")
Please, support this project by citing it in your publications!

  Yaseen M, Asghar Z (2024). _PakNAcc: Shiny App for National
  Accounts_.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {PakNAcc: Shiny App for National Accounts},
    author = {Muhammad Yaseen and Zahid Asghar},
    year = {2024},
    journal = {The Comprehensive R Archive Network (CRAN)},
  }
Metadata

Version

0.1.0

License

Unknown

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