R: Test Surveys by Simulating Spatially-Correlated Populations

# Test Surveys by Simulating Spatially-Correlated Populations

## Documentation for package ‘SimSurvey’ version 0.1.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bathy | Southern Newfoundland bathymetry
convert_N | Convert abundance-at-age matrix to abundance-at-length
error_stats | Calculate common error statistics
expand_surveys | Set up a series of surveys from all combinations of settings supplied
fibonacci | Generate Fibonacci sequence
group_lengths | Convert length to length group
icc | Calculate intraclass correlation
land | Southern Newfoundland coastline
make_grid | Make a depth-stratified survey grid
make_mesh | Make an R-INLA mesh based on a grid
object_size | Print object size
plot_age_strat_fan | Simple plotting functions
plot_distribution | Simple plotting functions
plot_error_surface | Simple plotting functions
plot_grid | Simple plotting functions
plot_length_strat_fan | Simple plotting functions
plot_surface | Simple plotting functions
plot_survey | Simple plotting functions
plot_survey_rank | Simple plotting functions
plot_total_strat_fan | Simple plotting functions
plot_trend | Simple plotting functions
resume_test | Test sampling design of multiple surveys using a stratified analysis
round_sim | Round simulated population
run_strat | Run stratified analysis on simulated data
sim_abundance | Simulate basic population dynamics model
sim_ays_covar | Simulate age-year-space covariance
sim_ays_covar_spde | Simulate age-year-space covariance using SPDE approach
sim_distribution | Simulate spatial and temporal distribution
sim_logistic | Closure for simulating logistic curve
sim_N0 | Simulate starting abundance, random recruitment, and total mortality
sim_nlf | Define a non-linear relationship
sim_parabola | Define a parabolic relationship
sim_R | Simulate starting abundance, random recruitment, and total mortality
sim_sets | Simulate survey sets
sim_survey | Simulate stratified-random survey
sim_survey_parallel | Simulate stratified random surveys using parallel computation
sim_vonB | Closure for simulating length given age using von Bertalanffy notation
sim_Z | Simulate starting abundance, random recruitment, and total mortality
strat_data | Prepare simulated data for stratified analysis
strat_error | Calculate error of stratified estimates
strat_means | Calculate stratified means, variances, and confidence intervals across groups
survey_grid | Sample survey simulation grid
survey_lite_mesh | Lite sample survey mesh and related items
survey_mesh | Sample survey meshes and related items
test_surveys | Test sampling design of multiple surveys using a stratified analysis
vis_sim | Make a flexdashboard for visualizing the simulation