R Observatory: Metrics for mcmodule version 1.3.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mcmodule

1.3.1Package record

Modular Monte Carlo Risk Analysis

0packages depend

3.1Kdownloads / year

82.8%test coverage

13/13flavors OK

Overview

About

Maintained by Natalia CiriaCRAN page ↗GitHub ↗Website ↗Issues ↗

Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, align multivariate mcnodes, automate the creation of mcnodes, visualise model structure, assess convergence, and perform sensitivity analysis. For more details see Ciria (2026) https://nataliaciria.com/mcmodule/.

Changes in 1.3.1

Lifecycle

agg_totals() is now deprecated in favour of agg_variates(). agg_totals() remains available for backwards compatibility, but now issues a lifecycle warning.

Bug fixes

mc_plot() now draws boxplots above scatter points (#86).
get_node_list() now uses node_name instead of param_names when filtering in_nodes (#84).
optim_ndvar() no longer produces warnings related to empty mctable handling (#87).
mcmodule_converg() tests are now reproducible on CRAN. Tests for non-convergence now set a random seed, because false negatives are expected when using a very limited number of simulations (#87).

Show all changes in 1.3.1Hide the rest of the changes in 1.3.1

Documentation

Updated the sensitivity analysis vignette and added references.
Updated README installation instructions to recommend pak::pak() instead of devtools::install_github().

From NEWS.md in the release

Install

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

install.packages("mcmodule", 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("NataliaCiria/mcmodule")

Development version from NataliaCiria/mcmodule. 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-mcmodule

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-mcmodule

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-mcmodule

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: 4.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-07
ERROR12 OK, 1 ERROR2026-09-04
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-16

Show 7 earlier changesHide 7 earlier changes

ERROR12 OK, 1 ERROR2026-07-15
OK13 OK2026-06-21
ERROR12 OK, 1 ERROR2026-06-20
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.1

READMEYes · 289 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.3.1Citation fileYes · software entry onlyWebsiteYes

Help pages: 57 (1 internal)
Examples that run: 94%32 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 87%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #11,855 · ~9/day · ~259/mo

Releases R versions

Daily download trend is not available in this view yet.

28330 days

92690 days

3.1K1 year

Compare downloads with other packages →

Also on112 r2u1 autocran

How downloads are counted

Repository

nataliaciria/mcmodule ↗Account: NataliaCiria

0Stars

1Forks

7Open issues

0Open PRs

5Releases

382Commits

6Commit identities

382 commits · Last activity 2026-10-09 · Default branch at 1.3.1.9000, ahead of CRAN 1.3.1 (checked 2026-10-21)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: 0

Forks over time

2026-06-06 · 12026-07-07 · 1

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/nataliaciria/mcmodule on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-11-25

Coverage (1)

Coverage reporting

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-12-26
Pull request: opened by its own account
Commits: 14 by its own account

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

11 external dependencies (excludes base and recommended)

Installing mcmodule adds 27 packages (13 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, mc2d 2.1 MB, isoband 1.5 MB.

Depends (2)

R >= 3.5mc2d

Imports (3)

dplyrstatsutils

LinkingTo (0)

none

Suggests (9)

knitr rmarkdown testthat visNetwork igraph ggplot2 sensitivity sensobol lifecycle

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 (3)

Natalia Ciria

Alberto Allepuz

Thesis advisor

Giovanna Ciaravino

Thesis advisor

Releases (5)

Pick two releases to compare their code metrics.

1.3.1Latest
record
2026-09-02 · current release · diff ↗ ·
added 1 export
agg_variates
1.3.0
record
2026-05-25 · diff ↗ ·
added 9 exports
matrix_to_mcnodes, mc_compare, mcmodule_tornado, mcnode_null_rm, mctable_bounds, mctable_sobol_matrices, optim_ndvar, reset_sample_design, set_sample_design
R
R 4.6.0 released · 2026-04-24
1.2.0
record
2026-03-02 · diff ↗ ·
added 9 exports
mc_filter, mc_plot, mcmodule_converg, mcmodule_corr, mcmodule_info, tidy_mcnode, which_mcnode, which_mcnode_inf, which_mcnode_na
1.1.1
record
2025-11-25 · diff ↗
1.1.0
record
2025-10-22
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-10-22
Total releases: 5 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5
Bundled data: 166 KB / 8 files
Download size: 3.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("mcmodule")

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 mcmodule version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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