Package: clespr 1.1.2

Ting Fung (Ralph) Ma

clespr: Composite Likelihood Estimation for Spatial Data

Composite likelihood approach is implemented to estimating statistical models for spatial ordinal and proportional data based on Feng et al. (2014) <doi:10.1002/env.2306>. 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.

Authors:Ting Fung Ma [cre, aut], Wenbo Wu [aut], Jun Zhu [aut], Xiaoping Feng [aut], Daniel Walsh [ctb], Robin Russell [ctb]

clespr_1.1.2.tar.gz
clespr_1.1.2.tar.gz(r-4.5-noble)clespr_1.1.2.tar.gz(r-4.4-noble)
clespr_1.1.2.tgz(r-4.4-emscripten)clespr_1.1.2.tgz(r-4.3-emscripten)
clespr.pdf |clespr.html✨
clespr/json (API)

# Install 'clespr' in R:

install.packages('clespr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.00 score 73 dependencies 6 scripts 187 downloads

Last updated 7 years agofrom:4f977bfa77. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 08 2024
R-4.5-linux	OK	Sep 08 2024

Exports:func.cl.ord func.cl.ord.repar func.cl.prop func.cle.ord func.cle.prop func.obs.ord func.obs.prop

Dependencies:abind AER backports boot broom car carData cli clordr codetools colorspace cowplot cpp11 Deriv doBy doParallel dplyr fansi farver foreach Formula generics ggplot2 glue gtable isoband iterators labeling lattice lifecycle lme4 lmtest magic magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbivnorm pbkrtest pillar pkgconfig purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang rootSolve sandwich scales SparseM stringi stringr survival tibble tidyr tidyselect tmvmixnorm utf8 vctrs viridisLite withr zoo

Help page	Topics
Composite Likelihood Calculation for Spatial Ordinal Data	func.cl.ord
Reparameterized Composite Likelihood Calculation for Spatial Ordinal Data	func.cl.ord.repar
Composite Likelihood Calculation for Spatial Proportional Data	func.cl.prop
Composite Likelihood Estimation for Spatial Ordinal Data	func.cle.ord
Composite Likelihood Estimation for Spatial Proportional Data	func.cle.prop
Latent Response Transformation for Spatial Ordinal Data	func.obs.ord
Latent Response Transformation for Proportional Data	func.obs.prop

Package: clespr 1.1.2

clespr: Composite Likelihood Estimation for Spatial Data

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Help Manual

Usage by other packages (reverse dependencies)