R Observatory: Metrics for InterpolateR version 1.4-3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

InterpolateR

1.4-3Package record

A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

0packages depend

5.3Kdownloads / year

95.5%test coverage

13/13flavors OK

Overview

About

Maintained by Jonnathan LandiCRAN page ↗GitHub ↗Issues ↗

Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.

Install

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

install.packages("InterpolateR", 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("Jonnathan-Landi/InterpolateR")

Development version from Jonnathan-Landi/InterpolateR. 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-interpolater

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-InterpolateR

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-InterpolateR

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: 1.7 min · r-devel-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 1.4-3

READMEYes · 2,070 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 1.4-3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 25%2 run in a plain check · 6 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: 50%

Vignettes (1)

A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation HTML

How these are measured

Downloads

5.3K

CRAN downloads in the past year

Rank #10,373 · ~14/day · ~439/mo

Releases R versions

Daily download trend is not available in this view yet.

39330 days

99090 days

5.3K1 year

Compare downloads with other packages →

Also on72 r2u3 autocran

How downloads are counted

Repository

jonnathan-landi/interpolater ↗Account: Jonnathan-Landi

14Stars

1Forks

5Open issues

0Open PRs

1Releases

191Commits

2Commit identities

191 commits · Last activity 2025-09-03 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: 71
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-24 · 142026-07-07 · 14

How these are measured

PracticesBeta

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

Checks run against github.com/jonnathan-landi/interpolater on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Coverage (1)

Coverage reporting

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing InterpolateR adds 14 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: data.table 5.7 MB, fitdistrplus 2.4 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.4.0

Imports (8)

data.table future.apply futurestatsterra pbapply randomForest qmap

LinkingTo (0)

none

Suggests (6)

knitr rmarkdown testthat covr withr ncdf4

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 (2)

Jonnathan Landi

Marco Mogro

Author · added in 1.4-3

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.4-3Latest
record
2025-09-04 · current release · diff ↗ ·
added 1 export
Kriging_Ordinary
1.3-4
record
2025-05-02 · diff ↗ ·
added 1 export
create_data
R
R 4.5.0 released · 2025-04-11
1.2-0
record
2025-04-02
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-04-02
Total releases: 3 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.4.0
Bundled data: 1.8 KB / 2 files
Download size: 115 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("InterpolateR")

Format

Landi, J., & Mogro, M. (2025). InterpolateR: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation (Version 1.4-3) [Computer software]. https://doi.org/10.32614/CRAN.package.InterpolateR

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 InterpolateR version 1.4-3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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