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
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

rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns