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clordr
View on CRAN: Click
here
Download and install clordr package within the R console
Install from CRAN:
install.packages("clordr")
Install from Github:
library("remotes")
install_github("cran/clordr")
Install by package version:
library("remotes")
install_version("clordr", "1.7.0")
Attach the package and use:
library("clordr")
Maintained by
Ting Fung (Ralph) Ma
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-06
Latest Update: 2022-03-24
Description:
Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error. Parameter estimation can be performed by either solving the gradient function or maximizing composite log-likelihood. Parametric bootstrapping is used to estimate the Godambe information matrix and hence the asymptotic standard error and covariance matrix with parallel processing option. Moreover, the proposed surrogate residual, which extends the results of Liu and Zhang (2017) , can act as a useful tool for model diagnostics.
How to cite:
Ting Fung (Ralph) Ma (2018). clordr: Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data. R package version 1.7.0, https://cran.r-project.org/web/packages/clordr
Previous versions and publish date:
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Other R packages that clordr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the clordr R package
Some associated functions: cl . cl.rord . cl_l . cle.rord . clic . merge.list . sim.rord . surrogate.residual .
Some associated R codes: cl.R . cl.rord.R . cl_l.R . cle.rord.R . clic.R . merged.list.R . sim.rord.R . sur_residual.R . Full clordr package functions and examples
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