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SimSurvey
View on CRAN: Click
here
Download and install SimSurvey package within the R console
Install from CRAN:
install.packages("SimSurvey")
Install from Github:
library("remotes")
install_github("cran/SimSurvey") Install by package version:
library("remotes")
install_version("SimSurvey", "0.1.8") Attach the package and use:
library("SimSurvey")
Maintained by
Paul Regular
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-09
Latest Update: 2025-09-03
Description:
Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).
How to cite:
Paul Regular (2020). SimSurvey: Test Surveys by Simulating Spatially-Correlated Populations. R package version 0.1.8, https://cran.r-project.org/web/packages/SimSurvey. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited SimSurvey R package
View SimSurvey citation profile
Other R packages that SimSurvey depends,
imports, suggests or enhances
Complete documentation for SimSurvey
Functions, R codes and Examples using
the SimSurvey R package
Some associated functions: bathy . convert_N . dot-Q . error_stats . expand_surveys . fibonacci . group_lengths . icc . land . make_grid . make_mesh . object_size . plot_trend . reexports . round_sim . run_strat . sim_R . sim_abundance . sim_ays_covar . sim_ays_covar_spde . sim_distribution . sim_logistic . sim_parabola . sim_sets . sim_survey . sim_survey_parallel . sim_vonB . strat_data . strat_error . strat_means . survey_grid . survey_lite_mesh . survey_mesh . test_surveys . vis_sim .
Some associated R codes: data.R . helper.R . icc.R . make_grid.R . pipe.R . plot_sim.R . run_strat.R . sim_dist.R . sim_dist_spde.R . sim_pop.R . sim_survey.R . test_surveys.R . vis_sim.R . Full SimSurvey package functions and examples
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