R Observatory: Metrics for disaggregation version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

disaggregation

0.4.1Package record

Disaggregation Modelling

1packages depend

6.7Kdownloads / year

91.7%test coverage

13/13flavors OK

Overview

About

Maintained by Tim LucasCRAN page ↗

Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) doi:10.18637/jss.v106.i11.

Install

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

install.packages("disaggregation", 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-disaggregation

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-disaggregation

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-disaggregation

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: 16.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-23

Show 3 earlier changesHide 3 earlier changes

ERROR12 OK, 1 ERROR2026-05-20
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 22
Examples that run: 20%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 7 never run
Exported functions with examples: 82%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 5%

Vignettes (1)

A short introduction to the disaggregation package HTML

How these are measured

Downloads

6.7K

CRAN downloads in the past year

Rank #5,934 · ~18/day · ~555/mo

Releases R versions

Daily download trend is not available in this view yet.

46630 days

1.4K90 days

6.7K1 year

Compare downloads with other packages →

Also on363 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing disaggregation adds 51 packages (31 with compiled code, 68 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (0)

none

Imports (14)

splancsMatrixstatsTMB dplyr ggplot2 cowplot rSPDE sparseMVN fmesher tidyterra terra sfutils

LinkingTo (2)

TMB RcppEigen

Suggests (4)

testthat knitr rmarkdown SpatialEpi

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

DAST

How these are counted

Code & Tests

People & History

People (5)

Tim Lucas

Author, Maintainer since 0.1.4 (2022)

Author

Author

Author

Contributor · added in 0.3.0

Previously maintained by Anita Nandi (0.1.0 to 0.1.3).

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.4.1Latest
record
2025-08-22 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.4.0
record
2024-10-02 · diff ↗ ·
removed 1 export
fit_model

added 1 export
plot_disag_model_data
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2023-11-08
0.3.0
record
2023-11-08 · diff ↗ ·
removed 1 export
parallelExtract
archivedRemoved from CRAN
2023-10-21
check problems were not corrected in time Seen on platforms with current INLA installed
0.2.1
record
2023-09-07 · diff ↗
0.2.0
record
2023-04-28 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1.4
record
2022-09-06 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.1.3
record
2020-02-19 · diff ↗ ·
removed 1 export
as.disag.data

added 3 exports
as.disag_data, disag_model, make_model_object

Show 4 earlier eventsHide 4 earlier events

0.1.2
record
2019-12-17 · diff ↗
0.1.1
record
2019-12-09 · diff ↗
0.1.0
record
2019-12-06
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-12-06
Total releases: 10 / 7 yrs
License: MIT + file LICENSE OSI
Download size: 343 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("disaggregation")

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

It points to 10.18637/jss.v106.i11.

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 disaggregation version 0.4.1 [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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