A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

r2dii.analysis

These tools help you to assess if a financial portfolio aligns with climate goals.
https://github.com/rmi-pacta/r2dii.analysis

Category: Sustainable Development
Sub Category: Sustainable Investment

Keywords

climate-change

Keywords from Contributors

archiving transforms measur animals conversion observation optimize compose generic projection

Last synced: about 17 hours ago
JSON representation

Repository metadata

Tools to Calculate Climate Targets for Financial Portfolios

README.Rmd

          ---
output: github_document 
---


```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# r2dii.analysis 


[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![CRAN status](https://www.r-pkg.org/badges/version/r2dii.analysis)](https://CRAN.R-project.org/package=r2dii.analysis)
[![Codecov test coverage](https://codecov.io/gh/RMI-PACTA/r2dii.analysis/branch/main/graph/badge.svg)](https://app.codecov.io/gh/RMI-PACTA/r2dii.analysis?branch=main)
[![R-CMD-check](https://github.com/RMI-PACTA/r2dii.analysis/actions/workflows/R.yml/badge.svg)](https://github.com/RMI-PACTA/r2dii.analysis/actions/workflows/R.yml)


These tools help you to assess if a financial portfolio aligns with climate
goals. They summarize key metrics attributed to the portfolio (e.g.
production, emission factors), and calculate targets based on climate
scenarios. They implement in R the last step of the free software 'PACTA'
(Paris Agreement Capital Transition Assessment;
). Financial institutions use 'PACTA' to
study how their capital allocation impacts the climate.

## Installation

Install the released version of r2dii.analysis from CRAN with:

```r
install.packages("r2dii.analysis")
```

Or install the development version of r2dii.analysis from GitHub with:

```r
# install.packages("pak")
pak::pak("RMI-PACTA/r2dii.analysis")
```

## Example

* Use `library()` to attach the packages you need. r2dii.analysis does not depend on the packages r2dii.data and r2dii.match; but we suggest you install them -- with `install.packages(c("r2dii.data", "r2dii.match"))` -- so you can reproduce our examples.

```{r, message=FALSE}
library(r2dii.data)
library(r2dii.match)
library(r2dii.analysis)
```

* Use `r2dii.match::match_name()` to identify matches between your loanbook and the asset level data.

```{r}
matched <- match_name(loanbook_demo, abcd_demo) %>%
  prioritize()
```

### Add Scenario Targets

* Use `target_sda()` to calculate SDA targets of CO~2~ emissions.

```{r}
matched %>%
  target_sda(
    abcd = abcd_demo,
    co2_intensity_scenario = co2_intensity_scenario_demo,
    region_isos = region_isos_demo
  )
```

* Use `target_market_share` to calculate market-share scenario targets at the portfolio level:

```{r}
matched %>%
  target_market_share(
    abcd = abcd_demo,
    scenario = scenario_demo_2020,
    region_isos = region_isos_demo
  )
```

* Or at the company level:

```{r}
matched %>%
  target_market_share(
    abcd = abcd_demo,
    scenario = scenario_demo_2020,
    region_isos = region_isos_demo,
    by_company = TRUE
  )
```

[Get started](https://rmi-pacta.github.io/r2dii.analysis/articles/r2dii-analysis.html).

```{r echo=FALSE}
download.file("http://bit.ly/banks-thanks", thanks <- tempfile())
```

## Funding

This project has received funding from the [European Union LIFE
program](https://wayback.archive-it.org/12090/20210412123959/https://ec.europa.eu/easme/en/) and the International Climate Initiative (IKI).
The Federal Ministry for the Environment, Nature Conservation and Nuclear Safety
(BMU) supports this initiative on the basis of a decision adopted by the German
Bundestag. The views expressed are the sole responsibility of the authors and do
not necessarily reflect the views of the funders. The funders are not
responsible for any use that may be made of the information it contains.

        

Owner metadata


GitHub Events

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Committers metadata

Last synced: 6 days ago

Total Commits: 463
Total Committers: 11
Avg Commits per committer: 42.091
Development Distribution Score (DDS): 0.51

Commits in past year: 52
Committers in past year: 5
Avg Commits per committer in past year: 10.4
Development Distribution Score (DDS) in past year: 0.577

Name Email Commits
Mauro m****e@g****m 227
Jackson Hoffart j****t@g****m 169
CJ Yetman cj@c****m 22
Jacob Kastl 6****k 17
Alex Axthelm a****m@R****g 13
dependabot[bot] 4****] 7
julie-vienne 6****e 4
Vincent 4****d 1
Nicky Halterman n****n@g****m 1
Jackson Hoffart j****n@2****g 1
Clare Murray c****e@2****g 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 81
Total pull requests: 144
Average time to close issues: 7 months
Average time to close pull requests: 6 days
Total issue authors: 6
Total pull request authors: 8
Average comments per issue: 1.91
Average comments per pull request: 0.74
Merged pull request: 134
Bot issues: 0
Bot pull requests: 7

Past year issues: 14
Past year pull requests: 43
Past year average time to close issues: 1 day
Past year average time to close pull requests: 2 days
Past year issue authors: 4
Past year pull request authors: 5
Past year average comments per issue: 0.86
Past year average comments per pull request: 0.35
Past year merged pull request: 40
Past year bot issues: 0
Past year bot pull requests: 3

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rmi-pacta/r2dii.analysis

Top Issue Authors

  • jdhoffa (41)
  • maurolepore (14)
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Top Pull Request Authors

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Top Issue Labels

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Top Pull Request Labels

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Package metadata

cran.r-project.org: r2dii.analysis

Measure Climate Scenario Alignment of Corporate Loans

  • Homepage: https://rmi-pacta.github.io/r2dii.analysis/
  • Documentation: http://cran.r-project.org/web/packages/r2dii.analysis/r2dii.analysis.pdf
  • Licenses: MIT + file LICENSE
  • Latest release: 0.5.1 (published 2 months ago)
  • Last Synced: 2025-04-25T13:33:25.645Z (1 day ago)
  • Versions: 18
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 473 Last month
  • Rankings:
    • Forks count: 7.383%
    • Dependent repos count: 14.752%
    • Stargazers count: 15.855%
    • Average: 15.939%
    • Dependent packages count: 17.575%
    • Downloads: 24.133%
  • Maintainers (1)

Dependencies

DESCRIPTION cran
  • R >= 3.4 depends
  • dplyr >= 0.8.5 imports
  • glue * imports
  • lifecycle * imports
  • magrittr * imports
  • r2dii.data * imports
  • rlang >= 0.1.2 imports
  • tidyr * imports
  • tidyselect * imports
  • zoo * imports
  • covr * suggests
  • r2dii.match * suggests
  • rmarkdown * suggests
  • roxygen2 * suggests
  • spelling * suggests
  • testthat >= 3.0.0 suggests
  • withr * suggests
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Score: 11.865432736213615