R Observatory: Metrics for LGDtoolkit version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LGDtoolkit

0.2.0Package record

Collection of Tools for LGD Rating Model Development

0packages depend

2.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Andrija DjurovicCRAN page ↗GitHub ↗

The goal of this package is to cover the most common steps in Loss Given Default (LGD) rating model development. The main procedures available are those that refer to bivariate and multivariate analysis. In particular two statistical methods for multivariate analysis are currently implemented – OLS regression and fractional logistic regression. Both methods are also available within different blockwise model designs and both have customized stepwise algorithms. Descriptions of these customized designs are available in Siddiqi (2016) doi:10.1002/9781119282396.ch10 and Anderson, R.A. (2021) doi:10.1093/oso/9780192844194.001.0001. Although they are explained for PD model, the same designs are applicable for LGD model with different underlying regression methods (OLS and fractional logistic regression). To cover other important steps for LGD model development, it is recommended to use 'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or 'monobinShiny') packages. Additionally, 'LGDtoolkit' provides set of procedures handy for initial and periodical model validation.

Changes in 0.2.0

1. Internal function ``summary.tbl` renamed as `summ.tbl`` to avoid S3 conflict

2. New functions:

``heterogeneity`` - validation of heterogeneity of the rating scale
``homogeneity`` - validation of homogeneity of the rating scale

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("LGDtoolkit", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("andrija-djurovic/LGDtoolkit")

Development version from andrija-djurovic/LGDtoolkit. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-lgdtoolkit

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-LGDtoolkit

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-LGDtoolkit

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 2,788 wordsVignettesNoNEWSYes · 67% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14
Examples that run: 100%13 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #21,566 · ~6/day · ~194/mo

Releases R versions

Daily download trend is not available in this view yet.

23130 days

61590 days

2.3K1 year

Compare downloads with other packages →

Also on68 r2u3 autocran

How downloads are counted

Repository

andrija-djurovic/lgdtoolkit ↗Account: andrija-djurovic

9Stars

1Forks

0Open issues

0Open PRs

0Releases

68Commits

1Commit identities

License file reads as GPL-3.0 · 68 commits · Last activity 2024-08-23 · +28.6% stars, 30d

Responsiveness

not measured

Stars over time

2025-07-19 · 72026-10-03 · 9

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/andrija-djurovic/lgdtoolkit on 2026-10-21.

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing LGDtoolkit adds 59 packages (30 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (2)

dplyr monobin

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Andrija Djurovic

Author, Maintainer since 0.0.9 (2023)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2.0Latest
record
2023-05-30 · current release · diff ↗ ·
added 2 exports
heterogeneity, homogeneity
R
R 4.3.0 released · 2023-04-21
0.1.0
record
2023-03-08 · diff ↗
0.0.9
record
2023-01-30
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-01-30
Total releases: 3 / 3 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 105 KB / 1 file
Download size: 141 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LGDtoolkit")

Format

Djurovic, A. (2023). LGDtoolkit: Collection of Tools for LGD Rating Model Development (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LGDtoolkit

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LGDtoolkit version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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