R Observatory: Metrics for mditools version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mditools

0.1.1Package record

Microdata Infrastructure Tools for Firm-Level Microdata Research

0packages depend

660downloads / year

74.7%test coverage

13/13flavors OK

Overview

About

Maintained by Johanna WeissCRAN page ↗GitHub ↗Issues ↗Declared funder: European Union

Supports the full analysis pipeline for researchers working with firm-level microdata. Provides data tools for panel preparation (import, outlier detection, classification harmonization), analytical methods (production function estimation, capital stock measurement, markups, intensity measures, distributions, regression, clustering), and disclosure tools for tagging outputs with dominance and observation counts before aggregation and publication. Production function estimation implements methods by Ackerberg, Caves and Frazer (2015) doi:10.3982/ECTA13408, Levinsohn and Petrin (2003) doi:10.1111/1467-937X.00246, Wooldridge (2009) doi:10.1016/j.econlet.2009.04.026, Petrin, Poi and Levinsohn (2004) doi:10.1177/1536867X0400400202, and Arellano and Bond (1991) doi:10.2307/2297968 with the "too many instruments" correction by Roodman (2009) doi:10.1111/j.1468-0084.2008.00542.x. Markup estimation follows De Loecker and Warzynski (2012) doi:10.1257/aer.102.6.2437. Cost-share production function estimation follows Basu and Fernald (1997) doi:10.1086/262073. Capital stock estimation via the Perpetual Inventory Method follows OECD (2009) doi:10.1787/9789264068476-en.

Changes in 0.1.1

Bug fixes

mdi_aggregate() no longer copies its input when it only summarises it (mrg = FALSE), and reads column types in place instead of copying the columns. Its peak memory on a large table drops from about 2.3 to 0.6 times the table's size.
mdi_hier_apply() orders hierarchy levels by their number, so h_10 comes after h_2 (they were ordered alphabetically).
mdi_clustering() with method = "pam" works again: it stopped with "length(labels) must equal nrow(Xmat)" whenever it was used.
mdi_clustering() with method = "mclust" works without mclust being attached (it stopped with "could not find function mclustBIC").
mdi_clustering() no longer changes the caller's random numbers: the seed it sets for reproducible clusters is undone when it returns. Clustering results are unchanged.

Show all changes in 0.1.1Hide the rest of the changes in 0.1.1

mdi_regress() computes confidence intervals with the requested covariance estimator (vcov), matching the standard errors.
mdi_make_conc() is rewritten: codes linked across years form one harmonized group (connected components), which removes the many-to-many join that stopped on large concordances. Each group is named after its smallest code in its latest year, with a D suffix when that year is before the last one. Group membership is unchanged; some group names differ from 0.1.0. year_list now defaults to the concordance's full year range, and a year without concordance rows is an error.

New features

mdi_import_data() reads tables from an Oracle database (format = "oracle"), through RODBC with the password asked interactively (askpass); both packages are suggested, not required.
mdi_aggregate() and mdi_jointdist() take domVar and domNr for the dominance check, and mdi_jointdist() takes minNumObs.
mdi_outlier() accepts several grouping variables in group.
check_dt(), check_string(), check_choice(), check_char_vec() and hier_levels() are exported, for packages that build on mditools.

Documentation

Help pages use Markdown; panel_lag() and panel_lag_L() are documented.
Acknowledgements and the EU funding statement (Technical Support Instrument, project ProdTool) in the README and on the package help page; the European Union is listed as funder.

From NEWS.md in the release

Install

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

install.packages("mditools", 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("Secretariat-CompNet/mditools")

Development version from Secretariat-CompNet/mditools. 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-mditools

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-mditools

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-mditools

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: 1.8 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK6 OK2026-08-21

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 252 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 25 (3 internal)includes a package overview page
Examples that run: 64%14 run in a plain check · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 96%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 4%

How these are measured

Downloads

660

CRAN downloads in the past year

Rank #19,627 · ~2/day · ~55/mo

Releases R versions

Daily download trend is not available in this view yet.

32530 days

66090 days

6601 year

Compare downloads with other packages →

Also on14 r2u3 autocran

How downloads are counted

Repository

secretariat-compnet/mditools ↗Account: Secretariat-CompNet

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-10-08

Responsiveness

not measured

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/secretariat-compnet/mditools on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing mditools adds 41 packages (22 with compiled code, 35 MB of source tarballs). Heaviest: data.table 5.7 MB, fixest 4.8 MB, dbscan 3.8 MB.

Depends (0)

none

Imports (12)

data.table fixest haven readxlMatrixclusterdbscan mcluststatsutilsgraphicsgrDevices

LinkingTo (0)

none

Suggests (4)

testthat arrow RODBC askpass

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (13)

Johanna Weiss

Author, Maintainer since 0.1.0 (2026)

Author

Author

Author

Author

Alessandro Zona Mattioli

Author

Julián Díaz-Acosta

Contributor

Alberto Ferreira

Contributor

Javier Miranda

Contributor

Marcelo Piemonte Ribeiro

Contributor

Reetuparna Vishwanath

Contributor

Chengzi Yi

Contributor

European Union

Funder · added in 0.1.1

Technical Support Instrument (TSI), project ProdTool, TSI-2025-MULTIMSPROD-IBA, TSI Project Number 101261159

Releases (2)

Pick two releases to compare their code metrics.

0.1.1Latest
record
2026-10-08 · current release · diff ↗ ·
added 5 exports
check_char_vec, check_choice, check_dt, check_string, hier_levels
0.1.0
record
2026-08-20
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-20
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Download size: 87 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mditools")

Format

Weiss, J., European Union, Aglio, D., Bartelsman, E., Díaz-Acosta, J., Ferreira, A., Hälbig, M., Miorandi, M., Miranda, J., Ribeiro, M. P., Vishwanath, R., Yi, C., & Zona Mattioli, A. (2026). mditools: Microdata Infrastructure Tools for Firm-Level Microdata Research (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mditools

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 mditools version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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