Other packages > Find by keyword >

SpatialVS  

Spatial Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SpatialVS", "1.1")



Attach the package and use:
library("SpatialVS")
Maintained by
Yili Hong
[Scholar Profile | Author Map]
First Published: 2018-09-30
Latest Update: 2018-11-10
Description:
Perform variable selection for the spatial Poisson regression model under the adaptive elastic net penalty. Spatial count data with covariates is the input. We use a spatial Poisson regression model to link the spatial counts and covariates. For maximization of the likelihood under adaptive elastic net penalty, we implemented the penalized quasi-likelihood (PQL) and the approximate penalized loglikelihood (APL) methods. The proposed methods can automatically select important covariates, while adjusting for possible spatial correlations among the responses. More details are available in Xie et al. (2018, <doi:10.48550/arXiv.1809.06418>). The package also contains the Lyme disease dataset, which consists of the disease case data from 2006 to 2011, and demographic data and land cover data in Virginia. The Lyme disease case data were collected by the Virginia Department of Health. The demographic data (e.g., population density, median income, and average age) are from the 2010 census. Land cover data were obtained from the Multi-Resolution Land Cover Consortium for 2006.
How to cite:
Yili Hong (2018). SpatialVS: Spatial Variable Selection. R package version 1.1, https://cran.r-project.org/web/packages/SpatialVS. Accessed 20 Apr. 2025.
Previous versions and publish date:
1.0 (2018-09-30 17:30)
Other packages that cited SpatialVS R package
View SpatialVS citation profile
Other R packages that SpatialVS depends, imports, suggests or enhances
Complete documentation for SpatialVS
Functions, R codes and Examples using the SpatialVS R package
Some associated functions: SpatialVS . SpatialVS.summary . control.default . lyme.svs.eco0.dat . lyme.svs.eco1.dat . small.test.dat . 
Some associated R codes: globV.R . lyme.svs.eco0.dat.R . lyme.svs.eco1.dat.R . small.test.R . spatialVS.R . summary.R .  Full SpatialVS package functions and examples
Downloads during the last 30 days
03/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/19Downloads for SpatialVS0246810121416182022242628TrendBars

Today's Hot Picks in Authors and Packages

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  
negligible  
A Collection of Functions for Negligible Effect/Equivalence Testing
Researchers often want to evaluate whether there is a negligible relationship among variables. The ...
Download / Learn more Package Citations See dependency  
jsonlite  
A Simple and Robust JSON Parser and Generator for R
A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers sim ...
Download / Learn more Package Citations See dependency  
appler  
'Apple App Store' and 'iTunes' Data Extraction
Using 'Apple App Store' web scraping and 'iTunes' API ...
Download / Learn more Package Citations See dependency  
japanstat  
Tools for Easy Use of 'e-Stat' API
Provides tools for using the API of 'e-Stat' (), a portal site for Japane ...
Download / Learn more Package Citations See dependency  
paramhetero  
Numeric and Visual Comparisons of Heterogeneity in Parametric Models
Performs statistical tests to compare coefficients and residual variance across models. Also provid ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,013

Publication Badges

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