R Observatory: Metrics for spmoran version 0.3.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spmoran

0.3.3Package record

Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors

1packages depend

5.1Kdownloads / year

–test coverage

0/13flavors OK

Overview

About

Maintained by Daisuke MurakamiCRAN page ↗GitHub ↗

A collection of functions for estimating spatial and spatio-temporal regression models. Moran eigenvectors are used as spatial basis functions to efficiently approximate spatially dependent Gaussian processes (i.e., random effects eigenvector spatial filtering; see Murakami and Griffith 2015 <doi: 10.1007/s10109-015-0213-7>). The implemented models include linear regression with residual spatial dependence, spatially/spatio-temporally varying coefficient models (Murakami et al., 2017, 2024; doi:10.1016/j.spasta.2016.12.001,doi:10.48550/arXiv.2410.07229), spatially filtered unconditional quantile regression (Murakami and Seya, 2019 doi:10.1002/env.2556), Gaussian and non-Gaussian spatial mixed models through compositionally-warping (Murakami et al. 2021, doi:10.1016/j.spasta.2021.100520).

Install

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

install.packages("spmoran", 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("dmuraka/spmoran")

Development version from dmuraka/spmoran. 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-spmoran

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-spmoran

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-spmoran

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

13NOTE

Check messages

NOTEDESCRIPTION meta-informationr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64

Missing dependency on R >= 4.2.0 because package code uses the pipe
  placeholder syntax added in R 4.2.0.
  File(s) using such syntax:
    ‘addlearn_local.R’

r-devel-windows-x86_64, r-oldrel-windows-x86_64, r-release-windows-x86_64

Missing dependency on R >= 4.2.0 because package code uses the pipe
  placeholder syntax added in R 4.2.0.
  File(s) using such syntax:
    'addlearn_local.R'

CRAN check page ↗

Slowest check: 5.0 min · r-oldrel-windows-x86_64

Status changes

NOTE13 NOTENow
NOTE3 OK, 11 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

Documentation signals are not tracked yet for this package.

Vignettes (3)

How these are measured

Downloads

5.1K

CRAN downloads in the past year

Rank #5,365 · ~14/day · ~426/mo

spmoran Releases R versions

Daily download trend is not available in this view yet.

55930 days

1.5K90 days

5.1K1 year

Compare downloads with other packages →

Also on152 r2u5 autocran173 c2d4u

How downloads are counted

Repository

dmuraka/spmoran ↗Account: dmuraka

28Stars

3Forks

2Open issues

0Open PRs

0Releases

64Commits

1Commit identities

64 commits · Last activity 2024-10-15

Responsiveness

How these are sampled

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

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/dmuraka/spmoran on 2026-10-11.

Docs source (1)

GitHub Pages site last deployed 2020-05-31

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing spmoran adds 43 packages (26 with compiled code, 56 MB of source tarballs). Heaviest: sf 9.3 MB, ggplot2 6.0 MB, spdep 4.5 MB.

Depends (0)

none

Imports (13)

sf fields veganMatrixdoParallel foreach ggplot2 spdep rARPACK RColorBrewersplinesFNNmethods

LinkingTo (0)

none

Suggests (2)

R.rsp spData

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

CompositionalSR

How these are counted

Code & Tests

People & History

People (1)

Daisuke Murakami

Author, Maintainer since 0.1.0 (2017)

Releases (31)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.3.3Latest
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2024-12-05 · current release · diff ↗
0.3.2
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2024-12-03 · diff ↗
0.3.1
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2024-10-13 · diff ↗
0.3.0
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2024-09-25 · diff ↗ ·
removed 1 export
predict0_vc
R
R 4.4.0 released · 2024-04-24
0.2.3
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2024-01-23 · diff ↗ ·
added 1 export
addlearn_local
0.2.2.9
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2023-04-28 · diff ↗
0.2.2.8
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2023-04-23 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.2.7
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2023-04-12 · diff ↗
0.2.2.6
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2022-09-05 · diff ↗
0.2.2.5
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2022-08-08 · diff ↗
0.2.2.4
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2022-06-28 · diff ↗
0.2.2.3
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2022-04-27 · diff ↗

Show 26 earlier eventsHide 26 earlier events

R
R 4.2.0 released · 2022-04-22
0.2.2.2
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2022-01-03 · diff ↗
0.2.2.1
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2021-11-18 · diff ↗
0.2.2
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2021-09-13 · diff ↗ ·
added 1 export
nongauss_y
R
R 4.1.0 released · 2021-05-18
0.2.1
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2021-01-11 · diff ↗ ·
added 2 exports
coef_marginal, coef_marginal_vc
0.2.0-2
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2020-08-03 · diff ↗
0.2.0-1
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2020-05-31 · diff ↗
0.2.0
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2020-05-20 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 17 exports
besf, besf_vc, esf, lsem, lslm, meigen, meigen0, meigen_f, plot_s, plot_n, plot_qr, predict0, predict0_vc, resf, resf_qr, resf_vc, weigen
R
R 4.0.0 released · 2020-04-24
0.1.7.2
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2019-12-11 · diff ↗
0.1.7.1
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2019-07-24 · diff ↗
0.1.7
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2019-07-24 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.6.2
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2019-02-25 · diff ↗
0.1.6.1
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2019-01-23 · diff ↗
0.1.6
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2018-10-06 · diff ↗
0.1.5
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2018-08-09 · diff ↗
0.1.4
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2018-05-02 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.3
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2018-04-10 · diff ↗
0.1.2
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2017-09-15 · diff ↗
0.1.1
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2017-06-23 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.0
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2017-03-12
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-03-12
Total releases: 31 / 9 yrs
License: GPL (>= 2) OSI
Download size: 4.0 MB

Appears in task views

Analysis of Spatial Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spmoran")

Format

Murakami, D. (2024). spmoran: Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors (Version 0.3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.spmoran

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 spmoran version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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