Other packages > Find by keyword >

spatialreg  

Spatial Regression Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spatialreg", "1.4-2")



Attach the package and use:
library("spatialreg")
Maintained by
Roger Bivand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-01
Latest Update: 2024-12-02
Description:
A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. A recent review is provided by 'Bivand', 'Millo' and 'Piras' (2021) <doi:10.3390/math9111276>. 'spatialreg' >= 1.1-* corresponded to 'spdep' >= 1.1-1, in which the model fitting functions were deprecated and passed through to 'spatialreg', but masked those in 'spatialreg'. From versions 1.2-*, the functions have been made defunct in 'spdep'.
How to cite:
Roger Bivand (2019). spatialreg: Spatial Regression Analysis. R package version 1.4-2, https://cran.r-project.org/web/packages/spatialreg. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.1-3 (2019-04-01 20:00), 1.1-5 (2019-12-02 00:00), 1.1-8 (2021-05-03 16:00), 1.2-1 (2021-11-11 15:10), 1.2-3 (2022-04-18 17:20), 1.2-5 (2022-08-16 20:10), 1.2-6 (2022-10-07 18:10), 1.2-8 (2023-03-01 09:20), 1.2-9 (2023-05-25 17:10), 1.3-1 (2023-11-23 11:30), 1.3-2 (2024-02-06 14:30), 1.3-3 (2024-05-31 14:00), 1.3-4 (2024-06-10 15:30), 1.3-5 (2024-08-19 17:30), 1.3-6 (2024-12-02 12:50), 1.4-1 (2025-09-04 11:10), 1.4-2 (2025-09-06 07:10)
Other packages that cited spatialreg R package
View spatialreg citation profile
Other R packages that spatialreg depends, imports, suggests or enhances
Complete documentation for spatialreg
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
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  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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