Package: dsims Depends: dssd (>= 0.2.2) Imports: mrds, Distance, sf, ggplot2, purrr, dplyr, mgcv, methods, rstudioapi, gridExtra, rlang Suggests: testthat, bookdown, parallel, pbapply, knitr, lwgeom, rmarkdown Type: Package Title: Distance Sampling Simulations Version: 1.0.6 Authors@R: c( person("Laura", "Marshall", email = "lhm@st-and.ac.uk", role = c("aut", "cre")), person("Thomas", "Len", email = "len.thomas@st-andrews.ac.uk", role = "ctb")) Maintainer: Laura Marshall Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at . License: GPL (>=2) Language: en-GB URL: https://github.com/DistanceDevelopment/dsims BugReports: https://github.com/DistanceDevelopment/dsims/issues Encoding: UTF-8 RoxygenNote: 7.3.2 Collate: 'AICc.R' 'generic.functions.R' 'Density.Summary.R' 'Density.R' 'Population.Description.R' 'Detectability.R' 'Population.R' 'Survey.R' 'DS.Analysis.R' 'Simulation.R' 'ClassConstructors.R' 'Simulation.Summary.R' 'Survey.LT.R' 'Survey.PT.R' 'accumulate.PP.results.R' 'accumulate.warnings.R' 'add.covariate.values.R' 'add.summary.results.R' 'calc.perp.dists.R' 'calc.rad.dists.R' 'calculate.scale.param.R' 'check.covariates.R' 'check.simulation.R' 'check.transects.R' 'create.results.arrays.R' 'description.summary.R' 'dsims-package.R' 'generate.pop.D.R' 'generate.pop.N.R' 'get.covered.area.lines.R' 'get.covered.area.points.R' 'get.density.surface.R' 'message.handler.R' 'modify.strata.for.analysis.R' 'process.dist.shapes.R' 'read.line.transects.R' 'read.point.transects.R' 'read.seg.transects.R' 'run.simulation.R' 'rztpois.R' 'save.sim.results.R' 'simulate.detections.R' 'simulation.consistency.check.R' 'single.sim.loop.R' 'store.ddf.results.R' 'store.dht.results.R' Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://distancedevelopment.r-universe.dev Date/Publication: 2025-12-03 10:51:21 UTC RemoteUrl: https://github.com/distanceDevelopment/dsims RemoteRef: HEAD RemoteSha: be63384894a77743ab8af9f20cf8c76e49a37b43 NeedsCompilation: no Packaged: 2026-06-21 09:26:22 UTC; root Author: Laura Marshall [aut, cre], Thomas Len [ctb]