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dsm
Density Surface Modelling of Distance Sampling Data
View on CRAN: Click
here
Download and install dsm package within the R console
Install from CRAN:
install.packages("dsm")
Install from Github:
library("remotes")
install_github("cran/dsm") Install by package version:
library("remotes")
install_version("dsm", "2.3.3") Attach the package and use:
library("dsm")
Maintained by
Laura Marshall
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dsm . https://github.com/DistanceDevelopment/dsm/issues . https://github.com/DistanceDevelopment/dsm . dsm results . dsm.pdf . dsm_2.3.3.tar.gz . dsm_2.3.3.zip . dsm_2.3.3.zip . dsm_2.3.3.zip . dsm_2.3.3.tgz . dsm_2.3.3.tgz . dsm_2.3.3.tgz . dsm_2.3.3.tgz . dsm_2.3.3.tgz . dsm_2.3.3.tgz . dsm archive . https://CRAN.R-project.org/package=dsm .
First Published: 2012-11-24
Latest Update: 2022-08-20
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.
How to cite:
Laura Marshall (2012). dsm: Density Surface Modelling of Distance Sampling Data. R package version 2.3.3, https://cran.r-project.org/web/packages/dsm. Accessed 29 Mar. 2025.
Previous versions and publish date:
2.0.1 (2013-02-21 07:52), 2.0 (2012-11-24 22:59), 2.1.3 (2013-08-20 09:46), 2.2.3 (2014-04-23 18:06), 2.2.4 (2014-06-17 11:00), 2.2.5 (2014-09-16 02:14), 2.2.9 (2015-07-29 20:48), 2.2.12 (2016-08-10 22:44), 2.2.13 (2016-10-03 22:59), 2.2.14 (2017-01-26 12:03), 2.2.15 (2017-07-04 01:15), 2.2.16 (2018-06-28 00:38), 2.2.17 (2019-01-19 23:30), 2.3.0 (2020-04-22 12:02), 2.3.1 (2021-03-27 03:10), 2.3.2 (2022-03-17 09:30)
Other packages that cited dsm R package
View dsm citation profile
Other R packages that dsm depends,
imports, suggests or enhances
Complete documentation for dsm
Functions, R codes and Examples using
the dsm R package
Some associated functions: block.info.per.su . check.cols . dsm-data . dsm-package . dsm.cor . dsm . dsm.var.gam . dsm.var.movblk . dsm.var.prop . dsm_cor . dsm_var_gam . dsm_var_movblk . dsm_var_prop . dsm_varprop . dummy_ddf . generate.ds.uncertainty . generate.mb.sample . latlong2km . make.soapgrid . mexdolphins . obs_exp . plot.dsm . plot.dsm.var . plot_pred_by_term . predict.dsm . predict.fake_ddf . print.dsm . print.dsm.var . print.dsm_varprop . print.summary.dsm.var . print.summary.dsm_varprop . rqgam.check . rqgam_check . summary.dsm . summary.dsm.var . summary.dsm_varprop . trim.var . vis.concurvity . vis_concurvity .
Some associated R codes: all_df_vars.R . block.info.per.su.R . check.cols.R . ddf.model.description.R . dead_functions.R . dsm-package.R . dsm.R . dsm_cor.R . dsm_var_gam.R . dsm_var_movblk.R . dsm_var_prop.R . dsm_varprop.R . dummy_ddf.R . generate.ds.uncertainty.R . generate.mb.sample.R . get_hessian.R . handy2.R . latlong2km.R . make.data.R . make.soapgrid.R . matrixnotposdef.handler.R . obs_exp.R . plot.dsm.R . plot.dsm.var.R . plot_pred_by_term.R . predict.dsm.R . print.dsm.R . print.dsm.var.R . print.dsm_varprop.R . print.summary.dsm.var.R . print.summary.dsm_varprop.R . rqgam_check.R . set_ddf_par.R . summary.dsm.R . summary.dsm.var.R . summary.dsm_varprop.R . trim.var.R . varprop_check.R . vis_concurvity.R . zzz.R . Full dsm package functions and examples
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