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clespr  

Composite Likelihood Estimation for Spatial Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clespr", "1.1.2")



Attach the package and use:
library("clespr")
Maintained by
Ting Fung (Ralph) Ma
[Scholar Profile | Author Map]
First Published: 2018-01-16
Latest Update: 2018-02-23
Description:
Composite likelihood approach is implemented to estimating statistical models for spatial ordinal and proportional data based on Feng et al. (2014) . Parameter estimates are identified by maximizing composite log-likelihood functions using the limited memory BFGS optimization algorithm with bounding constraints, while standard errors are obtained by estimating the Godambe information matrix.
How to cite:
Ting Fung (Ralph) Ma (2018). clespr: Composite Likelihood Estimation for Spatial Data. R package version 1.1.2, https://cran.r-project.org/web/packages/clespr. Accessed 06 May. 2025.
Previous versions and publish date:
1.0.1 (2018-01-16 11:33)
Other packages that cited clespr R package
View clespr citation profile
Other R packages that clespr depends, imports, suggests or enhances
Complete documentation for clespr
Functions, R codes and Examples using the clespr R package
Some associated functions: func.cl.ord . func.cl.ord.repar . func.cl.prop . func.cle.ord . func.cle.prop . funcs.ord . funcs.prop . 
Some associated R codes: func.cl.ord.R . func.cl.prop.R . func.cle.ord.R . func.cle.ord.repar.R . func.cle.prop.R . funcs.ord.R . funcs.prop.R .  Full clespr package functions and examples
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