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.
- Version1.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release02/23/2018
Team
Ting Fung (Ralph) Ma
Wenbo Wu
Show author detailsRolesAuthorJun Zhu
Show author detailsRolesAuthorXiaoping Feng
Show author detailsRolesAuthorDaniel Walsh
Show author detailsRolesContributorRobin Russell
Show author detailsRolesContributor
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- Imports8 packages