Package: DSsim
Depends: graphics, splancs, mrds, mgcv, shapefiles, methods
Suggests: testthat, parallel, knitr, rmarkdown
Type: Package
Title: Distance Sampling Simulations
Version: 1.0.5
Date: 2016-06-17
LazyLoad: yes
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. It repeatedly
generates instances of a user defined population within a given survey
region, generates realisations of a survey design (currently these must
be pregenerated using Distance software <http://distancesampling.org/>) 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 will allow users to select survey
designs which will give them the best accuracy and precision
given their expectations about population distribution. Any uncertainty in
population distribution or population parameters can be included by running
the different survey designs for a number of different population
descriptions. An example simulation can be found in the help file
for make.simulation.
License: GPL (>= 2)
Collate: 'DDF.Data.R' 'generic.functions.R' 'DDF.Analysis.R'
'DS.Analysis.R' 'Survey.Design.R' 'PT.Design.R'
'PT.Systematic.Design.R' 'PT.Random.Design.R' 'LT.Design.R'
'LT.User.Specified.Design.R' 'LT.EqSpace.ZZ.Design.R'
'LT.EqAngle.ZZ.Design.R' 'LT.Random.Design.R'
'LT.Systematic.Design.R' 'Density.R' 'Population.Description.R'
'Region.R' 'Region.Table.R' 'Sample.Table.R' 'Obs.Table.R'
'Single.Obs.DDF.Data.R' 'Transect.R' 'Line.Transect.R'
'Detectability.R' 'Population.R' 'LT.Survey.Results.R'
'Survey.Results.R' 'DSM.Analysis.R' 'Simulation.R'
'Class.Constructors.R' 'Design.Summary.R' 'Survey.R'
'LT.Survey.R' 'Point.Transect.R' 'PT.Survey.R'
'Population.Summary.R' 'Simulation.Summary.R'
'Single.Obs.LT.Survey.R' 'Single.Obs.PT.Survey.R'
'accumulate.PP.results.R' 'add.dist.error.R'
'add.summary.results.R' 'calc.area.R'
'calc.poss.detect.dists.lines.R'
'calc.poss.detect.dists.points.R' 'check.intersection.R'
'check.shapefile.R' 'coords.from.shapefile.R' 'create.bins.R'
'data.for.distance.R' 'description.summary.R'
'generate.pop.D.R' 'generate.pop.N.R' 'get.ave.density.R'
'get.bound.box.R' 'get.line.sampler.info.R'
'get.point.sampler.info.R' 'get.shapefile.names.R'
'get.surface.constant.R' 'get.surface.gam.R' 'hn.detect.R'
'hr.detect.R' 'in.polygons.R' 'is.gap.R'
'modify.strata.for.analysis.R' 'rename.duplicates.R'
'save.sim.results.R' 'simulate.detections.R'
'single.simulation.loop.R' 'store.ddf.results.R'
'store.dht.results.R' 'uf.detect.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 11:13:22 UTC; laura
Repository: CRAN
Date/Publication: 2016-06-20 20:25:41
Package: Distance
Maintainer: David Lawrence Miller <dave@ninepointeightone.net>
License: GPL (>= 2)
Title: Distance Sampling Detection Function and Abundance Estimation
LazyLoad: yes
Author: David Lawrence Miller
Description: A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided.
Version: 0.9.4
URL: http://github.com/DistanceDevelopment/Distance/
Depends: R (>= 3.0), mrds (>= 2.1.10)
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-07-29 16:16:49 UTC; dill
Repository: CRAN
Date/Publication: 2015-07-29 18:25:43
Package: dsm
Maintainer: David Lawrence Miller <dave@ninepointeightone.net>
License: GPL (>= 2)
Title: Density Surface Modelling of Distance Sampling Data
LazyLoad: yes
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington,
Sharon Hedley.
Description: Density surface modelling of line transect data. A Generalized Additive Model-based approach is used to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.
Version: 2.2.9
URL: http://github.com/DistanceDevelopment/dsm
Depends: R (>= 3.0), mgcv (>= 1.7), mrds (>= 2.1.8)
Imports: nlme, ggplot2, statmod
Suggests: Distance, tweedie
NeedsCompilation: no
Packaged: 2015-07-29 16:24:21 UTC; dill
Repository: CRAN
Date/Publication: 2015-07-29 20:48:45
providing 
.