R Observatory: Metrics for RiskMap version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RiskMap

1.0.0Package record

Geostatistical Modeling of Spatially Referenced Data

1packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Emanuele GiorgiCRAN page ↗Website ↗

Geostatistical analysis of continuous and count data. Implements stationary Gaussian processes with Matérn correlation for spatial prediction, as described in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).

Install

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

install.packages("RiskMap", 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-riskmap

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-RiskMap

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-RiskMap

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: 6.7 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 OK2026-07-29

Show 4 earlier changesHide 4 earlier changes

WARNING12 OK, 1 WARNING2026-07-21
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 98 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 51
Examples that run: 100%3 run in a plain check
Exported functions with examples: 10%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 4%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #18,249 · ~7/day · ~218/mo

Releases R versions

Daily download trend is not available in this view yet.

23430 days

69990 days

2.6K1 year

Compare downloads with other packages →

Also on90 r2u6 autocran

How downloads are counted

Repository

claudiofronterre/riskmap ↗Account: claudiofronterre

0Stars

2Forks

18Open issues

6Open PRs

0Releases

161Commits

4Commit identities

161 commits · Last activity 2025-10-09

Responsiveness

How these are sampled

PRs merged (all time): 96%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 1

Issues over time

2026-07-14 · 212026-10-18 · 18

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/claudiofronterre/riskmap 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

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-08-11 · The repository has a site deploy workflow

pkgdown site last built 2026-08-11

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Codexfirst seen 2026-01-12
Pull request it wrote: opened by a project member

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing RiskMap adds 93 packages (47 with compiled code, 95 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5.0

Imports (17)

statsmethodsMatrixterra xtablegraphicsspatialEco spatialsample Deriv numDeriv dplyr ggplot2 ggpubr gridExtra sf sns stars

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

MBGapp

How these are counted

Code & Tests

Datasets

People & History

People (2)

Emanuele Giorgi

Author, Maintainer since 0.1.0 (2024)

Claudio Fronterre

Contributor

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
record
2025-10-09 · current release · diff ↗ ·
added 12 exports
assess_pp, assess_sim, check_mcmc, compute_ID_coords, convex_hull_sf, dast, plot_AnPIT, plot_mda, plot_score, plot_sim_surf, surf_sim, update_predictors
R
R 4.5.0 released · 2025-04-11
0.1.0
record
2024-06-25
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-06-25
Total releases: 2 / 2 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 526 KB / 11 files
Download size: 630 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RiskMap")

Format

Giorgi, E., & Fronterre, C. (2025). RiskMap: Geostatistical Modeling of Spatially Referenced Data (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RiskMap

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 RiskMap version 1.0.0 [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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