R Observatory: Metrics for transfR version 1.1.18

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

transfR

1.1.18Package record

Transfer of Hydrograph from Gauged to Ungauged Catchments

0packages depend

3.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Alban de LavenneCRAN page ↗Repository ↗Issues ↗

Provides geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling makes it possible to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) doi:10.1080/02626667.2018.1425801. The resulting net rainfall is then interpolated to ungauged catchments to simulate streamflow following de Lavenne et al. (2016) doi:10.1002/2016WR018716.

Install

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

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

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

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-transfr

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-transfR

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-transfR

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: 6.6 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.18

READMEYes · 847 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 17includes a package overview page
Examples that run: 57%8 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 92%
Documented parameters: 99%
Return-value docs: 92%
Help pages citing references: 41% with a bibliography file

Vignettes (3)

How these are measured

Downloads

3.4K

CRAN downloads in the past year

Rank #10,811 · ~9/day · ~280/mo

Releases R versions

Daily download trend is not available in this view yet.

35030 days

96890 days

3.4K1 year

Compare downloads with other packages →

Also on413 r2u3 autocran81 c2d4u

How downloads are counted

Repository

forge.inrae.fr/hydrogr/transfr ↗

0Stars

0Forks

0Open issues

0Releases

85Commits

1Commit identities

R-packagehydrology

85 commits · Last activity 2026-07-23

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against forge.inrae.fr/hydrogr/transfr on 2026-10-21.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing transfR adds 20 packages (12 with compiled code, 28 MB of source tarballs). Heaviest: sf 9.3 MB, stars 3.8 MB, s2 2.8 MB.

Depends (3)

R >= 4.1.0stars sf

Imports (6)

doParallel foreach units glmnetMatrixRdpack

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown elevatr progress whitebox

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 (4)

Alban de Lavenne

Author, Maintainer since 0.1.0 (2021)

Tom Loree

Contributor

Hervé Squividant

Contributor

Christophe Cudennec

Thesis advisor

Releases (13)

Pick two releases to compare their code metrics.

1.1.18Latest
record
2026-07-24 · current release · diff ↗
1.1.12
record
2026-07-20 · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.4
record
2025-03-20 · diff ↗ ·
added 1 export
rsimilarity_model
1.1.0
record
2025-02-05 · diff ↗ ·
added 1 export
rsimilarity
R
R 4.4.0 released · 2024-04-24
1.0.11
record
2023-10-02 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.7
record
2023-01-25 · diff ↗
unarchivedReturned to CRAN
2023-01-22
1.0.6
record
2023-01-22 · diff ↗
1.0.2
record
2022-11-22 · diff ↗
1.0.1
record
2022-11-08 · diff ↗
1.0.0
record
2022-10-06 · diff ↗
0.1.2
record
2022-05-11 · diff ↗ ·
added 1 export
quick_transfr

Show 5 earlier eventsHide 5 earlier events

R
R 4.2.0 released · 2022-04-22
0.1.1
record
2021-12-20 · diff ↗
0.1.0
record
2021-09-08
R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2020-01-19
check issues were not corrected in time

Package metadata

First published: 2021-09-08
Total releases: 13 / 5 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.9 MB / 3 files
Download size: 2.3 MB

Appears in task views

Hydrological Data and Modeling

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("transfR")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 transfR version 1.1.18 [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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