Run 'PACTA' on Multiple Loan Books Easily

Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on multiple loan books in a structured way. Provides access to standard 'PACTA' metrics and additional 'PACTA'-related metrics for multiple loan books. Results take the form of 'csv' files and plots and are exported to user-specified project paths.


pacta.multi.loanbook

Lifecycle:experimental R-CMD-check

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The pacta.multi.loanbook package offers a standardized, user-friendly way to calculate climate alignment metrics for multiple loan books, based on the PACTA methodology.

Designed for financial supervisory contexts, it simplifies climate alignment analysis across many lending institutions. The package streamlines steps to prevent repetition while allowing flexibility to tailor the analysis for specific project needs, providing valuable insights into transition alignment and risk.

Installation

You can install the release version of the package by running the following command in R:

install.packages("pacta.multi.loanbook")

You can install the development version of the package from GitHub with:

# install.packages("pak")
pak::pak("RMI-PACTA/pacta.multi.loanbook")

Usage

Please consult the following resource for instructions on using the package. The cookbook provides a detailed overview covering the setup of the necessary software environment, obtaining and preparing input data, running the analysis, and interpreting the results.

  • Cookbook: A comprehensive guide for setting up, running and interpreting the analysis.

Reference manual

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install.packages("pacta.multi.loanbook")

0.1.1 by Jacob Kastl, 2 years ago


https://rmi-pacta.github.io/pacta.multi.loanbook/, https://github.com/RMI-PACTA/pacta.multi.loanbook/


Browse source code at https://github.com/cran/pacta.multi.loanbook


Authors: Jacob Kastl [aut, cre, ctr] , CJ Yetman [aut, ctr] , Monika Furdyna [aut, ctr] , RMI [cph, fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, config, dplyr, ggalluvial, ggplot2, ggrepel, glue, r2dii.analysis, r2dii.data, r2dii.match, r2dii.plot, readr, readxl, rlang, scales, tidyr, yaml, yesno

Suggests DiagrammeR, gt, knitr, pkgdown, rmarkdown, usethis, testthat, tibble, withr, writexl


See at CRAN