clordr: Composite Likelihood Inference for Spatial Ordinal Data with Replications

Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error. Parametric bootstrapping is used to estimate the asymptotic standard error and covariance matrix.

Version: 1.0.2
Imports: pbivnorm (≥ 0.6.0), MASS (≥ 7.3-45), numDeriv (≥ 2016.8-1), utils, stats
Published: 2018-02-06
Author: Ting Fung (Ralph) Ma [cre, aut], Pingping Wang [aut], Jun Zhu [aut], Dipankar Bandyopadhyay [ctb], Yincai Tang [ctb]
Maintainer: Ting Fung (Ralph) Ma <tingfung.ma at wisc.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: clordr results

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Reference manual: clordr.pdf
Package source: clordr_1.0.2.tar.gz
Windows binaries: r-devel: clordr_1.0.2.zip, r-release: clordr_1.0.2.zip, r-oldrel: clordr_1.0.2.zip
OS X El Capitan binaries: r-release: clordr_1.0.2.tgz
OS X Mavericks binaries: r-oldrel: not available

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