COST: Copula-Based Semiparametric Models for Spatio-Temporal Data

Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.

Version:	0.1.0
Depends:	copula, mvtnorm
Published:	2019-01-04
Author:	Yanlin Tang, Huixia Judy Wang
Maintainer:	Yanlin Tang <yanlintang2018 at 163.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
CRAN checks:	COST results

Documentation:

Reference manual:

COST.pdf

Downloads:

Package source:	COST_0.1.0.tar.gz
Windows binaries:	r-devel: COST_0.1.0.zip, r-release: COST_0.1.0.zip, r-oldrel: COST_0.1.0.zip
macOS binaries:	r-release (arm64): COST_0.1.0.tgz, r-oldrel (arm64): COST_0.1.0.tgz, r-release (x86_64): COST_0.1.0.tgz, r-oldrel (x86_64): COST_0.1.0.tgz

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