Other packages > Find by keyword >

spAbundance  

Univariate and Multivariate Spatial Modeling of Species Abundance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spAbundance", "0.2.1")



Attach the package and use:
library("spAbundance")
Maintained by
Jeffrey Doser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-20
Latest Update: 2023-10-20
Description:
Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <doi:10.18637/jss.v103.i05>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.
How to cite:
Jeffrey Doser (2023). spAbundance: Univariate and Multivariate Spatial Modeling of Species Abundance. R package version 0.2.1, https://cran.r-project.org/web/packages/spAbundance. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1.0 (2023-10-20 12:20), 0.1.1 (2024-03-22 23:00), 0.1.3 (2024-04-08 21:30), 0.2.0 (2024-09-26 23:00)
Other packages that cited spAbundance R package
View spAbundance citation profile
Other R packages that spAbundance depends, imports, suggests or enhances
Complete documentation for spAbundance
Functions, R codes and Examples using the spAbundance R package
Some associated functions: DS . NMix . abund . bbsData.rda . bbsPredData.rda . dataNMixSim.rda . fitted.DS . fitted.NMix . fitted.abund . fitted.lfMsAbund . fitted.lfMsDS . fitted.lfMsNMix . fitted.msAbund . fitted.msDS . fitted.msNMix . fitted.sfMsAbund . fitted.sfMsDS . fitted.sfMsNMix . fitted.spAbund . fitted.spDS . fitted.spNMix . fitted.svcAbund . fitted.svcMsAbund . hbefCount2015.rda . lfMsAbund . lfMsDS . lfMsNMix . msAbund . msDS . msNMix . neonDWP.rda . neonPredData.rda . ppcAbund . predict.DS . predict.NMix . predict.abund . predict.lfMsAbund . predict.lfMsDS . predict.lfMsNMix . predict.msAbund . predict.msDS . predict.msNMix . predict.sfMsAbund . predict.sfMsDS . predict.sfMsNMix . predict.spAbund . predict.spDS . predict.spNMix . predict.svcAbund . predict.svcMsAbund . sfMsAbund . sfMsDS . sfMsNMix . simAbund . simDS . simMsAbund . simMsDS . simMsNMix . simNMix . spAbund . spDS . spNMix . summary.DS . summary.NMix . summary.abund . summary.lfMsAbund . summary.lfMsDS . summary.lfMsNMix . summary.msAbund . summary.msDS . summary.msNMix . summary.sfMsAbund . summary.sfMsDS . summary.sfMsNMix . summary.spAbund . summary.spDS . summary.spNMix . summary.svcAbund . summary.svcMsAbund . svcAbund . svcMsAbund . waicAbund . 
Some associated R codes: DS.R . NMix.R . abund.R . abundGaussian.R . generics.R . idist.R . lfMsAbund.R . lfMsAbundGaussian.R . lfMsDS.R . lfMsNMix.R . mkMatUtil.R . mkSpCov.R . msAbund.R . msAbundGaussian.R . msDS.R . msNMix.R . nn.R . plot-generics.R . ppcAbund.R . sfMsAbund.R . sfMsAbundGaussian.R . sfMsDS.R . sfMsNMix.R . simAbund.R . simDS.R . simMsAbund.R . simMsDS.R . simMsGaussian.R . simMsNMix.R . simNMix.R . spAbund.R . spAbundGaussian.R . spDS.R . spNMix.R . svcAbund.R . svcMsAbund.R . waicAbund.R .  Full spAbundance 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

ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
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  
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  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
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  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
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