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binspp

0.2.4Package record

Bayesian Inference for Neyman-Scott Point Processes

0packages depend
4.8Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

The Bayesian MCMC estimation of parameters for Thomas-type cluster point process with various inhomogeneities. It allows for inhomogeneity in (i) distribution of parent points, (ii) mean number of points in a cluster, (iii) cluster spread. The package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process. The cluster size is allowed to have a variance that is greater or less than the expected value (cluster sizes are over or under dispersed). Details are described in Dvořák, Remeš, Beránek & Mrkvička (2022) <arXiv: 10.48550/arXiv.2205.07946>.

Install

Health

CRAN checks
13OK
Slowest check: 5.8 min · r-devel-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 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.4
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
29 (1 internal)includes a package overview page
Examples that run
100%15 run in a plain check
Exported functions with examples
77%
Documented parameters
98%
Return-value docs
92%
Help pages citing references
7%

Downloads

4.8K
CRAN downloads in the past year
Rank #6,381 · ~13/day · ~397/mo
Daily download trend is not available in this view yet.
49030 days
1.3K90 days
4.8K1 year
Compare downloads with other packages →
Also on469 r2u39 autocran

Repository

1Stars
0Forks
1Open issues
0Open PRs
1Releases
160Commits
1Commit identities
160 commits · Last activity 2026-06-16
Responsiveness
not measured

Issues over time

2026-07-14 · 02026-10-10 · 1
PracticesBeta

Checks run against github.com/tomasmrkvicka/binspp on 2026-10-18.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing binspp adds 26 packages (20 with compiled code, 28 MB of source tarballs). Heaviest: spatstat 4.3 MB, fields 3.9 MB, spam 3.1 MB.

Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (6)
Author, Maintainer since 0.1.18 (2022)
Contributor · added in 0.2.0
Contributor · added in 0.2.0
Releases (8)

Pick two releases to compare their code metrics.

  • 0.2.4Latest
    record
    2026-06-16 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.3
    record
    2025-12-04 · diff ↗ ·
    removed 3 exports
    plot_outputs, print_outputs, print_outputs_internsp
    added 1 export
    rawMCMCoutput
  • 0.2.2
    record
    2025-05-05 · diff ↗
  • 0.2.0
    record
    2025-04-24 · diff ↗ ·
    added 6 exports
    AuxVarGen, coeff, estinternsp, pCClik2, plot_conn, print_outputs_internsp
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.26
    record
    2022-12-08 · diff ↗
  • unarchivedReturned to CRAN
    2022-10-08
  • 0.1.24
    record
    2022-10-08 · diff ↗
  • archivedRemoved from CRAN
    2022-08-08
    issues were not corrected in time
  • 0.1.20
    record
    2022-06-07 · diff ↗
  • 0.1.18
    record
    2022-05-27
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-05-27
Total releases
8 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
834 KB / 10 files
Download size
915 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("binspp")
Radim, R., Jaewoo, P., Jiri, D., Ladislav, B., Sujeong, L., & Tomas, M. (2026). binspp: Bayesian Inference for Neyman-Scott Point Processes (Version 0.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.binspp

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 binspp version 0.2.4 [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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