R Observatory: Metrics for spldv version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spldv

0.1.3Package record

Spatial Models for Limited Dependent Variables

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Mauricio SarriasCRAN page ↗GitHub ↗Issues ↗

The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators doi:10.18637/jss.v107.i08. It supports one-step (Pinkse and Slade, 1998) doi:10.1016/S0304-4076(97)00097-3 and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) doi:10.1198/073500107000000188. It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) doi:10.1016/j.jocm.2023.100432.

Changes in 0.1.3

NEW FEATURES

Includes citation for JSS paper.

From inst/NEWS.Rd in the release

Install

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

install.packages("spldv", 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("gpiras/spldv")

Development version from gpiras/spldv. 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-spldv

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-spldv

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-spldv

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: 2.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMENoVignettesNoNEWSYes · mentions 0.1.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 6
Examples that run: 33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 67%
Documented parameters: 89%
Return-value docs: 100%
Help pages citing references: 33%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #18,933 · ~7/day · ~221/mo

Releases R versions

Daily download trend is not available in this view yet.

25430 days

68890 days

2.7K1 year

Compare downloads with other packages →

Also on63 r2u2 autocran

How downloads are counted

Repository

gpiras/spldv ↗Account: gpiras

1Stars

4Forks

1Open issues

1Open PRs

0Releases

59Commits

5Commit identities

59 commits · Last activity 2026-07-10 · Default branch at 0.2.2, ahead of CRAN 0.1.3 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 90%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2023-12-02 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/gpiras/spldv on 2026-10-18.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing spldv adds 90 packages (50 with compiled code, 107 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, TH.data 8.2 MB.

Depends (1)

R >= 4.0

Imports (11)

FormulaMatrixmaxLikstatssphet memisc carmethodsnumDerivMASSspatialreg

LinkingTo (0)

none

Suggests (1)

spdep

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Mauricio Sarrias

Author, Maintainer since 0.1.0 (2022)

Gianfranco Piras

Author

Daniel McMillen

Contributor

Releases (4)

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
R
R 4.4.0 released · 2024-04-24
0.1.3Latest
record
2023-10-11 · current release · diff ↗
unarchivedReturned to CRAN
2023-09-22
0.1.2
record
2023-09-22 · diff ↗
archivedRemoved from CRAN
2023-08-10
issues were not corrected in time
R
R 4.3.0 released · 2023-04-21
0.1.1
record
2022-05-09 · diff ↗ ·
removed 1 export
effect.bingmm

added 1 export
impacts
R
R 4.2.0 released · 2022-04-22
0.1.0
record
2022-03-22
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-03-22
Total releases: 4 / 4 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0
Download size: 21 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("spldv")

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

It points to 10.18637/jss.v107.i08.

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 spldv version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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