Other packages > Find by keyword >

mads  

Multi-Analysis Distance Sampling
View on CRAN: Click here


Download and install mads package within the R console
Install from CRAN:
install.packages("mads")

Install from Github:
library("remotes")
install_github("cran/mads")

Install by package version:
library("remotes")
install_version("mads", "0.1.6")



Attach the package and use:
library("mads")
Maintained by
Laura Marshall
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-25
Latest Update: 2023-11-24
Description:
Performs distance sampling analyses on a number of species at once and can account for unidentified sightings, model uncertainty and covariate uncertainty. Unidentified sightings refer to sightings which cannot be allocated to a single species but may instead be allocated to a group of species. The abundance of each unidentified group is estimated and then prorated to the species estimates. Model uncertainty should be incorporated when multiple models give equally good fit to the data but lead to large differences in estimated density / abundance. Covariate uncertainty should be incorporated when covariates cannot be measured accurately, for example this is often the case for group size in marine mammal surveys. Variance estimation for these methods is via a non parametric bootstrap. The methods implemented are described in Gerodette T. and Forcada J. (2005) Non-recovery of two spotted and spinner dolphin populations in the eastern tropical Pacific Ocean.
How to cite:
Laura Marshall (2014). mads: Multi-Analysis Distance Sampling. R package version 0.1.6, https://cran.r-project.org/web/packages/mads. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1.0 (2014-11-25 09:01), 0.1.1 (2014-12-24 01:38), 0.1.2 (2015-02-27 07:24), 0.1.3 (2015-09-25 14:32), 0.1.4 (2016-08-10 20:43), 0.1.5 (2017-01-23 15:00), 0.1.6 (2020-05-27 15:10)
Other packages that cited mads R package
View mads citation profile
Other R packages that mads depends, imports, suggests or enhances
Functions, R codes and Examples using the mads R package
Some associated functions: accumulate.results . calculate.dht . check.convergence . check.covar.uncertainty . check.ddf.models . check.fitted . check.species.code.definitions . check.species.presence . creates.table . create.param.arrays . create.result.arrays . execute.multi.analysis . fit.ddf.models . format.dht.results . get.datasets . mads-package . mads.data . mae.warning . model.description . process.bootstrap.results . process.warnings . prorate.unidentified . renumber.duplicates . resample.covariates . resample.data . rtpois . store.param.ests . summary.ma.allspecies . summary.ma.allunid . summary.ma.analysis . summary.ma . summary.ma.species . summary.ma.unid . 
Some associated R codes: accumulate.results.R . calculate.dht.R . check.convergence.R . check.covar.uncertainty.R . check.ddf.models.R . check.fitted.R . check.species.code.definitions.R . creates.table.R . create.result.arrays.R . execute.multi.analysis.R . fit.ddf.models.R . format.dht.results.R . get.datasets.R . glossary.R . mads-package.R . mae.warning.R . model.description.R . object.description.R . process.bootstrap.results.R . process.warnings.R . prorate.unidentified.R . renumber.duplicates.R . resample.covariates.R . resample.data.R . rtpois.R . store.param.ests.R . summary.ma.R . summary.ma.allspecies.R . summary.ma.allunid.R . summary.ma.analysis.R . summary.ma.species.R . summary.ma.unid.R .  Full mads package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA