R Observatory: Metrics for SCDA version 0.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SCDA

0.0.2Package record

Spatially-Clustered Data Analysis

0packages depend

6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Paolo MaranzanoCRAN page ↗

Contains functions for statistical data analysis based on spatially-clustered techniques. The package allows estimating the spatially-clustered spatial regression models presented in Cerqueti, Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe", arXiv preprint 2407.15874 doi:10.48550/arXiv.2407.15874. Specifically, the current release allows the estimation of the spatially-clustered linear regression model (SCLM), the spatially-clustered spatial autoregressive model (SCSAR), the spatially-clustered spatial Durbin model (SCSEM), and the spatially-clustered linear regression model with spatially-lagged exogenous covariates (SCSLX). From release 0.0.2, the library contains functions to estimate spatial clustering based on Adiajacent Matrix K-Means (AMKM) as described in Zhou, Liu \& Zhu (2019), "Weighted adjacent matrix for K-means clustering", Multimedia Tools and Applications, 78 (23) doi:10.1007/s11042-019-08009-x.

Install

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

install.packages("SCDA", 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-scda

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-SCDA

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-SCDA

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: 3.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-10
WARNING12 OK, 1 WARNING2026-05-09
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.2

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 88%7 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

6K

CRAN downloads in the past year

Rank #12,972 · ~16/day · ~501/mo

Releases R versions

Daily download trend is not available in this view yet.

34030 days

86390 days

6K1 year

Compare downloads with other packages →

Also on75 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing SCDA adds 70 packages (35 with compiled code, 87 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, TH.data 8.2 MB.

Depends (1)

R >= 3.5.0

Imports (13)

spatialreg sp spdeputilsrlang performancestatsmethodsdplyr sf NbClust ggplot2 ggspatial

LinkingTo (0)

none

Suggests (1)

tidyverse

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 (4)

Paolo Maranzano

Francesco Caccia

Author, Copyright holder · added in 0.0.2

Camilla Lionetti

Author, Copyright holder · added in 0.0.2

Raffaele Mattera

Author, Copyright holder

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.0.2Latest
record
2024-10-22 · current release · diff ↗ ·
added 1 export
SC_AMKM
0.0.1
record
2024-10-14
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-10-14
Total releases: 2 / 2 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 311 KB / 1 file
Download size: 338 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("SCDA")

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 SCDA version 0.0.2 [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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