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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.
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Package details |
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| Author | Ting Fung (Ralph) Ma [cre, aut], Wenbo Wu [aut], Jun Zhu [aut], Xiaoping Feng [aut], Daniel Walsh [ctb], Robin Russell [ctb] |
| Maintainer | Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu> |
| License | GPL-2 |
| Version | 1.1.2 |
| Package repository | View on CRAN |
| Installation |
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