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templr

0.2-4Package record

MASCOTNUM / RT-UQ Algorithms Template Tools

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Helper functions for MASCOTNUM / RT-UQ https://uq.math.cnrs.fr/ algorithm template, for design of numerical experiments practice: algorithm template parser to support MASCOTNUM specification https://github.com/MASCOTNUM/algorithms, 'ask & tell' decoupling injection (inspired by https://search.r-project.org/CRAN/refmans/sensitivity/html/decoupling.html) to use "crimped" algorithms (like uniroot(), optim(), ...) from outside R, basic template examples: Brent algorithm for 1 dim root finding and L-BFGS-B from base optim().

Install

Health

CRAN checks
13OK
Slowest check: 1.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2-4
READMEYes · 26 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15
Examples that run
60%9 run in a plain check (1 of them under a condition) · 6 never run
Exported functions with examples
100%
Documented parameters
90%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,391 · ~8/day · ~229/mo
Daily download trend is not available in this view yet.
34930 days
79490 days
2.7K1 year
Compare downloads with other packages →
Also on93 r2u1 autocran

Repository

RT-UQ/templr ↗Organization: RT-UQ

Moved from mascotnum/templr.

0Stars
0Forks
0Open issues
0Open PRs
0Releases
License file reads as Apache-2.0 · Last activity 2026-08-28 · Default branch at 0.2-4.1, ahead of CRAN 0.2-4 (checked 2026-10-18)
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/mascotnum/templr on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-08-26
    Commits: at least 10 crediting it in the message
Models named in its commits
  • Claude Sonnet 510 commits · Aug 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing templr adds 5 packages (4 with compiled code, 2.7 MB of source tarballs). Heaviest: jsonlite 1.0 MB, rlang 766 KB, cli 629 KB.

Depends (1)
R >= 4.0
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1-0 (2022)
Releases (6)

Pick two releases to compare their code metrics.

  • 0.2-4Latest
    record
    2026-08-26 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2-3
    record
    2026-01-13 · diff ↗
  • 0.2-2
    record
    2026-01-12 · diff ↗
  • 0.2-1
    record
    2025-07-26 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2-0
    record
    2022-10-25 · diff ↗ ·
    added 1 export
    list.results
  • 0.1-0
    record
    2022-08-31
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-31
Total releases
6 / 4 yrs
License
Apache License (>= 2)
Minimum R
≥ 4.0
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("templr")
Richet, Y. (2026). templr: MASCOTNUM / RT-UQ Algorithms Template Tools (Version 0.2-4) [Computer software]. https://doi.org/10.32614/CRAN.package.templr

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for templr version 0.2-4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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