Fix CRAN issues

Author: christophscheuch

.Rbuildignore

@@ -8,3 +8,4 @@
 ^\.github$
 .lintr
 ^cran-comments\.md$
+^CRAN-SUBMISSION$

CRAN-SUBMISSION

@@ -0,0 +1,3 @@
+Version: 0.1.0
+Date: 2025-08-25 20:06:03 UTC
+SHA: 063c4da6e0537c91125523f301dc7672c5762b53

DESCRIPTION

@@ -1,12 +1,16 @@
 Package: econtools
-Title: Tools to Analyze Economic Data
+Title: Enrich and Analyze Sovereign-Level Economic Data
 Version: 0.1.0
 Authors@R: c(
     person("Christoph", "Scheuch", , "[email protected]", 
             role = c("aut", "cre", "cph"),
             comment = c(ORCID = "0009-0004-0423-6819"))
     )
-Description: A collection of tools to facilitate the analysis of economic data.
+Description: Provides a consistent set of functions for enriching and analyzing 
+    sovereign-level economic data. Economists, data scientists, and financial 
+    professionals can use the package to add standardized identifiers, 
+    demographic and macroeconomic indicators, and derived metrics such as 
+    gross domestic product per capita or government expenditure shares.
 License: MIT + file LICENSE
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)

README.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(
 [![Codecov test coverage](https://codecov.io/gh/tidy-intelligence/econtools/graph/badge.svg)](https://app.codecov.io/gh/tidy-intelligence/econtools)
 <!-- badges: end -->
 
-The goal of econtools is to provide tools for analyzing economic data similar to the Python [bblocks](https://github.com/ONEcampaign/bblocks/tree/main) package.
+Provides a consistent set of functions for enriching and analyzing sovereign-level economic data. Economists, data scientists, and financial  professionals can use the package to add standardized identifiers, demographic and macroeconomic indicators, and derived metrics such as  gross domestic product per capita or government expenditure shares.
 
 The package is part of the [EconDataverse](https://www.econdataverse.org/) family of packages aimed at helping economists and financial professionals work with sovereign-level economic data.
 
@@ -128,3 +128,20 @@ And share of government expenditure to GDP:
 ```{r}
 add_gov_exp_share_column(df, id_column = "id", date_column = "year")
 ```
+
+## Contributing
+
+Contributions to `econtools` are welcome! If you’d like to contribute,
+please follow these steps:
+
+1.  **Create an issue**: Before making changes, create an issue
+    describing the bug or feature you’re addressing.
+2.  **Fork the repository**: After receiving supportive feedback from
+    the package authors, fork the repository to your GitHub account.
+3.  **Create a branch**: Create a branch for your changes with a
+    descriptive name.
+4.  **Make your changes**: Implement your bug fix or feature.
+5.  **Test your changes**: Run tests to ensure your changes don’t break
+    existing functionality.
+6.  **Submit a pull request**: Push your changes to your fork and submit
+    a pull request to the main repository.

README.md

@@ -12,9 +12,12 @@ Check](https://github.com/tidy-intelligence/econtools/actions/workflows/R-CMD-ch
 coverage](https://codecov.io/gh/tidy-intelligence/econtools/graph/badge.svg)](https://app.codecov.io/gh/tidy-intelligence/econtools)
 <!-- badges: end -->
 
-The goal of econtools is to provide tools for analyzing economic data
-similar to the Python
-[bblocks](https://github.com/ONEcampaign/bblocks/tree/main) package.
+Provides a consistent set of functions for enriching and analyzing
+sovereign-level economic data. Economists, data scientists, and
+financial professionals can use the package to add standardized
+identifiers, demographic and macroeconomic indicators, and derived
+metrics such as gross domestic product per capita or government
+expenditure shares.
 
 The package is part of the
 [EconDataverse](https://www.econdataverse.org/) family of packages aimed
@@ -210,3 +213,20 @@ add_gov_exp_share_column(df, id_column = "id", date_column = "year")
 #> 4 USA           USA 2022               2.60e+13       0.36829
 #> 5 USA United States 2023               2.77e+13       0.37113
 ```
+
+## Contributing
+
+Contributions to `econtools` are welcome! If you’d like to contribute,
+please follow these steps:
+
+1.  **Create an issue**: Before making changes, create an issue
+    describing the bug or feature you’re addressing.
+2.  **Fork the repository**: After receiving supportive feedback from
+    the package authors, fork the repository to your GitHub account.
+3.  **Create a branch**: Create a branch for your changes with a
+    descriptive name.
+4.  **Make your changes**: Implement your bug fix or feature.
+5.  **Test your changes**: Run tests to ensure your changes don’t break
+    existing functionality.
+6.  **Submit a pull request**: Push your changes to your fork and submit
+    a pull request to the main repository.