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MBGapp

0.1.0Package record

Interactive 'shiny' Application for Model-Based Geostatistics

0packages depend
1.5Kdownloads / year
87.5%test coverage
11/13flavors OK

Overview

About

Provides an interactive 'shiny' application for teaching and applied analysis of geostatistical data. Users can explore spatial data, assess spatial correlation through the empirical variogram, fit model-based geostatistical models for continuous, prevalence and count outcomes, produce spatial predictions, and download reports. The methodology follows the model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘RiskMap’ ‘dplyr’ ‘geoR’ ‘ggplot2’ ‘grDevices’ ‘httr2’ ‘leafem’
  ‘leaflet’ ‘magrittr’ ‘readr’ ‘rmarkdown’ ‘sf’ ‘shinyjs’ ‘splines’
  ‘stars’ ‘terra’ ‘tidyr’ ‘tidyterra’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 52 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
  • NOTE6 OK, 2 NOTE2026-07-11
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 380 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check (under a condition)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
0%

Downloads

1.5K
CRAN downloads in the past year
Rank #5,976 · ~4/day · ~125/mo
Daily download trend is not available in this view yet.
64130 days
1.4K90 days
1.5K1 year
Compare downloads with other packages →
Also on19 r2u

Repository

2Stars
1Forks
0Open issues
0Open PRs
0Releases
47Commits
1Commit identities
47 commits · Last activity 2026-06-26
Responsiveness
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/olatunjijohnson/mbgapp on 2026-10-18.

Continuous integration (2)
Travis CI (config file)AppVeyor
Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
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.

  • Claude Codefirst seen 2026-06-21
    Commits: at least 4 crediting it in the message
Models named in its commits
  • Claude Sonnet 4.64 commits · Jun 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing MBGapp adds 155 packages (82 with compiled code, 144 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Maintainer since 0.1.0 (2026), Author
Releases (1)
  • 0.1.0Latest
    2026-07-10 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-10
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Additional repositories
inla.r-inla-download.org
Download size
337 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MBGapp")
Johnson, O., Fronterre, C., & Giorgi, E. (2026). MBGapp: Interactive 'shiny' Application for Model-Based Geostatistics (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MBGapp

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MBGapp version 0.1.0 [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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