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:
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.
Last updated 7 years agofrom:4f977bfa77. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-linux | OK | Nov 07 2024 |
Exports:func.cl.ordfunc.cl.ord.reparfunc.cl.propfunc.cle.ordfunc.cle.propfunc.obs.ordfunc.obs.prop
Dependencies:abindAERbackportsbootbroomcarcarDatacliclordrcodetoolscolorspacecowplotcpp11DerivdoBydoParalleldplyrfansifarverforeachFormulagenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclelme4lmtestmagicmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbivnormpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangrootSolvesandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttmvmixnormutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| 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 |