R Observatory: Metrics for ExposR version 1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ExposR

1.2Package record

Models Topographic Exposure to Hurricane Winds

0packages depend

6.3Kdownloads / year

51.2%test coverage

13/13flavors OK

Overview

About

Maintained by Emery BooseCRAN page ↗GitHub ↗Issues ↗

The EXPOS model uses a digital elevation model (DEM) to estimate exposed and protected areas for a given hurricane wind direction and inflection angle. The resulting topographic exposure maps can be combined with output from the HURRECON model to estimate hurricane wind damage across a region. For details on the original version of the EXPOS model written in 'Borland Pascal', see: Boose, Foster, and Fluet (1994) doi:10.2307/2937142, Boose, Chamberlin, and Foster (2001) doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2, and Boose, Serrano, and Foster (2004) doi:10.1890/02-4057.

Install

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

install.packages("ExposR", 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("expos-model/ExposR")

Development version from expos-model/ExposR. 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-exposr

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-ExposR

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-ExposR

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: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2

READMEYes · 1,044 wordsVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 100%1 run in a plain check
Exported functions with examples: 25%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Overview of ExposR HTML

How these are measured

Downloads

6.3K

CRAN downloads in the past year

Rank #9,479 · ~17/day · ~522/mo

Releases R versions

Daily download trend is not available in this view yet.

35130 days

1K90 days

6.3K1 year

Compare downloads with other packages →

Also on70 r2u4 autocran

How downloads are counted

Repository

expos-model/exposr ↗Organization: expos-model

0Stars

0Forks

0Open issues

0Open PRs

1Releases

28Commits

2Commit identities

28 commits · Last activity 2024-11-09

Responsiveness

How these are sampled

PRs merged (all time): 80%
Median days to close, 50 most recently updated closed issues: 182
Median days to close, 50 most recently updated closed PRs: 0

Releases over time

2022-07-14 · 12026-07-07 · 1

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/expos-model/exposr on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (1)

cran-comments.md

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing ExposR adds 2 packages (2 with compiled code, 3.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, terra 1.5 MB.

Depends (1)

R >= 4.0.0

Imports (4)

graphicsgrDevicesterrautils

LinkingTo (0)

none

Suggests (4)

knitr qpdf testthat rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Emery Boose

Author, Maintainer since 1.0 (2022)

President and Fellows of Harvard College

Copyright holder

Releases (3)

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
1.2Latest
record
2024-11-09 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.1
record
2023-06-14 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0
record
2022-07-15
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-07-15
Total releases: 3 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Download size: 129 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ExposR")

Format

Boose, E., & President and Fellows of Harvard College. (2024). ExposR: Models Topographic Exposure to Hurricane Winds (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ExposR

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 ExposR version 1.2 [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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