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.
Version: 1.1.2 Depends: R (≥ 3.2.0) Imports: AER (≥ 1.2-5), pbivnorm (≥ 0.6.0), MASS (≥ 7.3-45), magic (≥ 1.5-6), survival (≥ 2.37-5), clordr (≥ 1.0.2), doParallel (≥ 1.0.11), foreach (≥ 1.2.0), utils, stats Published: 2018-02-23 DOI: 10.32614/CRAN.package.clespr 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 at wisc.edu> License: GPL-2 NeedsCompilation: no CRAN checks: clespr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=clespr to link to this page.
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