Simulated Sampling Procedure for Community Ecology
Overview
The Simulation-based Sampling Protocol (SSP) is an R package designed to estimate sampling effort in studies of ecological communities. It is based on the concept of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015, doi:10.1111/ele.12385) and the simulation of ecological data. The theoretical background is described in Guerra-Castro et al. (2020, doi:10.1111/ecog.05284).
Function adjustments
simdata()now includes the newjitter.baseparameter, which allows controlled stochastic perturbations of site-level parameters. This feature increases variability among simulated communities, particularly in nested designs (e.g., sites within regions), where previous versions tended to generate unrealistically similar communities. By applying mild randomness to occurrence and abundance probabilities,simdata()produces simulated data sets with multivariate dispersion closer to empirical expectations.- The use of
jitter.baseis optional (defaultjitter.base = 0), so existing workflows remain unchanged. Users who wish to reproduce the behavior of earlier versions can simply ignore this parameter. For reproducibility, remember to useset.seed()before callingsimdata().
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 12includes a package overview page
- Examples that run
- 100%12 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 12
Stars over time
Forks over time
PRs over time
9 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/edlinguerra/ssp on 2026-10-18.
The R CMD check workflow runs on Linux
GitHub Pages site last deployed 2025-11-20
Dependencies
Installing SSP adds 21 packages (10 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, vegan 1.4 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.1.0Latest
- 1.0.22025-04-25 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.12020-03-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-28
- Total releases
- 3 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 14 KB / 4 files
- Download size
- 196 KB
Cite
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Run in R for the authors' preferred citation:
citation("SSP")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.