R Observatory: Metrics for LLMTranslate version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LLMTranslate

0.4.0Package record

'shiny' App for TRAPD/ISPOR Survey Translation with LLMs

0packages depend

4.6Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Jonas R. KunstCRAN page ↗

A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). Supports both item-by-item and batch translation modes for optimal performance and context-aware translations. Handles multi-sheet Excel files and supports OpenAI (GPT), Google Gemini, and Anthropic Claude models. Follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) doi:10.1002/9780470609927.ch7 and Wild et al. (2005) doi:10.1111/j.1524-4733.2005.04054.x.

Changes in 0.4.0

Bug Fixes

Fixed a crash during translation when a prompt referenced an unresolved placeholder (e.g. {items_text} in item-by-item mode) or when survey text contained literal curly braces. Prompt interpolation now leaves unknown placeholders untouched instead of aborting the run.
Fixed GPT-5 / o-series ("reasoning") models: requests previously failed and silently fell back to a chat model. The 'responses' endpoint payload and the output extraction are corrected, and the output token budget was raised so large batch responses are no longer truncated.

New Features and Improvements

API calls now automatically retry transient failures (HTTP 429 rate limits and 5xx server errors) with exponential backoff, and surface the provider's error message (e.g. quota details) instead of a bare status code.

Show all changes in 0.4.0Hide the rest of the changes in 0.4.0

Custom (user-typed) model names that are not in the built-in list now work end to end: the provider is inferred from the model name, so newly released OpenAI, Gemini, and Anthropic models can be used without an app update.
Updated the built-in model list to current models (e.g. Claude Opus 4.8, Sonnet 4.6, Haiku 4.5). Anthropic models that do not accept a temperature parameter are handled automatically.
Model selection fields are now freely editable text boxes with a suggestion dropdown, so a custom model name can be typed or edited directly without first clearing the current selection.

From NEWS.md in the release

Install

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

install.packages("LLMTranslate", 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-llmtranslate

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-LLMTranslate

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-LLMTranslate

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: 1.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.0

READMEYes · 353 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 2includes a package overview page
Examples that run: 50%1 run in a plain check (under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

4.6K

CRAN downloads in the past year

Rank #13,309 · ~13/day · ~380/mo

Releases R versions

Daily download trend is not available in this view yet.

29730 days

87090 days

4.6K1 year

Compare downloads with other packages →

Also on83 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing LLMTranslate adds 30 packages (19 with compiled code, 25 MB of source tarballs). Heaviest: bslib 5.6 MB, promises 3.1 MB, sass 2.9 MB.

Depends (1)

R >= 4.1

Imports (1)

shiny

LinkingTo (0)

none

Suggests (9)

DT readxl writexl openxlsx httr2 jsonlite glue later testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Jonas R. Kunst

Author, Maintainer since 0.1.3 (2025)

Releases (4)

Pick two releases to compare their code metrics.

0.4.0Latest
record
2026-06-18 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.3.0
record
2026-01-12 · diff ↗
0.2.0
record
2025-10-17 · diff ↗
0.1.3
record
2025-09-05
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-09-05
Total releases: 4 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Download size: 27 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("LLMTranslate")

The package provides a citation file, so citation() returns the authors' own entry.

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 LLMTranslate version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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